id sid tid token lemma pos ertr-320 1 1 paper_1_2_2 paper_1_2_2 PROPN ertr-320 1 2 e e NOUN ertr-320 1 3 - - NOUN ertr-320 1 4 review review NOUN ertr-320 1 5 of of ADP ertr-320 1 6 tourism tourism NOUN ertr-320 1 7 research research NOUN ertr-320 1 8 ( ( PUNCT ertr-320 1 9 ertr ertr NOUN ertr-320 1 10 ) ) PUNCT ertr-320 1 11 , , PUNCT ertr-320 1 12 vol vol NOUN ertr-320 1 13 . . PROPN ertr-320 1 14 16 16 NUM ertr-320 1 15 , , PUNCT ertr-320 1 16 no no INTJ ertr-320 1 17 . . PUNCT ertr-320 2 1 2/3 2/3 NUM ertr-320 2 2 , , PUNCT ertr-320 2 3 2019 2019 NUM ertr-320 2 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 2 5 73 73 NUM ertr-320 2 6 junjie junjie NOUN ertr-320 2 7 sun sun PROPN ertr-320 2 8 kyoto kyoto PROPN ertr-320 2 9 university university PROPN ertr-320 2 10 chenyi chenyi PROPN ertr-320 2 11 zhuang zhuang PROPN ertr-320 2 12 national national PROPN ertr-320 2 13 institute institute PROPN ertr-320 2 14 of of ADP ertr-320 2 15 advanced advanced ADJ ertr-320 2 16 industrial industrial ADJ ertr-320 2 17 science science NOUN ertr-320 2 18 and and CCONJ ertr-320 2 19 technology technology NOUN ertr-320 2 20 , , PUNCT ertr-320 2 21 japan japan PROPN ertr-320 2 22 qiang qiang PROPN ertr-320 2 23 ma ma PROPN ertr-320 2 24 kyoto kyoto PROPN ertr-320 2 25 university university PROPN ertr-320 2 26 travel travel NOUN ertr-320 2 27 route route NOUN ertr-320 2 28 recommendation recommendation NOUN ertr-320 2 29 by by ADP ertr-320 2 30 considering consider VERB ertr-320 2 31 user user NOUN ertr-320 2 32 transition transition NOUN ertr-320 2 33 patterns pattern NOUN ertr-320 2 34 travel travel VERB ertr-320 2 35 route route NOUN ertr-320 2 36 recommendation recommendation NOUN ertr-320 2 37 services service NOUN ertr-320 2 38 that that PRON ertr-320 2 39 recommend recommend VERB ertr-320 2 40 a a DET ertr-320 2 41 sequence sequence NOUN ertr-320 2 42 of of ADP ertr-320 2 43 points point NOUN ertr-320 2 44 - - PUNCT ertr-320 2 45 of of ADP ertr-320 2 46 - - PUNCT ertr-320 2 47 interest interest NOUN ertr-320 2 48 ( ( PUNCT ertr-320 2 49 pois pois NOUN ertr-320 2 50 ) ) PUNCT ertr-320 2 51 for for ADP ertr-320 2 52 tourists tourist NOUN ertr-320 2 53 are be AUX ertr-320 2 54 very very ADV ertr-320 2 55 useful useful ADJ ertr-320 2 56 in in ADP ertr-320 2 57 location location NOUN ertr-320 2 58 - - PUNCT ertr-320 2 59 based base VERB ertr-320 2 60 social social ADJ ertr-320 2 61 networks network NOUN ertr-320 2 62 ( ( PUNCT ertr-320 2 63 lbsns lbsns NOUN ertr-320 2 64 ) ) PUNCT ertr-320 2 65 . . PUNCT ertr-320 3 1 currently currently ADV ertr-320 3 2 , , PUNCT ertr-320 3 3 most most ADJ ertr-320 3 4 of of ADP ertr-320 3 5 the the DET ertr-320 3 6 work work NOUN ertr-320 3 7 that that PRON ertr-320 3 8 addresses address VERB ertr-320 3 9 this this DET ertr-320 3 10 task task NOUN ertr-320 3 11 are be AUX ertr-320 3 12 focusing focus VERB ertr-320 3 13 on on ADP ertr-320 3 14 personalization personalization NOUN ertr-320 3 15 and and CCONJ ertr-320 3 16 poi poi PROPN ertr-320 3 17 features feature NOUN ertr-320 3 18 , , PUNCT ertr-320 3 19 which which PRON ertr-320 3 20 estimate estimate VERB ertr-320 3 21 user user NOUN ertr-320 3 22 - - PUNCT ertr-320 3 23 location location NOUN ertr-320 3 24 relations relation NOUN ertr-320 3 25 while while SCONJ ertr-320 3 26 rarely rarely ADV ertr-320 3 27 considering consider VERB ertr-320 3 28 transitions transition NOUN ertr-320 3 29 , , PUNCT ertr-320 3 30 i.e. i.e. X ertr-320 3 31 , , PUNCT ertr-320 3 32 the the DET ertr-320 3 33 relationships relationship NOUN ertr-320 3 34 between between ADP ertr-320 3 35 locations location NOUN ertr-320 3 36 . . PUNCT ertr-320 4 1 to to ADP ertr-320 4 2 this this DET ertr-320 4 3 end end NOUN ertr-320 4 4 , , PUNCT ertr-320 4 5 we we PRON ertr-320 4 6 propose propose VERB ertr-320 4 7 a a DET ertr-320 4 8 latent latent NOUN ertr-320 4 9 factorization factorization NOUN ertr-320 4 10 model model NOUN ertr-320 4 11 that that PRON ertr-320 4 12 learns learn VERB ertr-320 4 13 transition transition NOUN ertr-320 4 14 patterns pattern NOUN ertr-320 4 15 with with ADP ertr-320 4 16 enhanced enhanced ADJ ertr-320 4 17 spatial spatial ADJ ertr-320 4 18 - - PUNCT ertr-320 4 19 temporal temporal ADJ ertr-320 4 20 features feature NOUN ertr-320 4 21 between between ADP ertr-320 4 22 locations location NOUN ertr-320 4 23 . . PUNCT ertr-320 5 1 furthermore furthermore ADV ertr-320 5 2 , , PUNCT ertr-320 5 3 we we PRON ertr-320 5 4 recommend recommend VERB ertr-320 5 5 travel travel NOUN ertr-320 5 6 routes route NOUN ertr-320 5 7 by by ADP ertr-320 5 8 combining combine VERB ertr-320 5 9 knowledge knowledge NOUN ertr-320 5 10 on on ADP ertr-320 5 11 locations location NOUN ertr-320 5 12 and and CCONJ ertr-320 5 13 transitions transition NOUN ertr-320 5 14 . . PUNCT ertr-320 6 1 experimental experimental ADJ ertr-320 6 2 results result NOUN ertr-320 6 3 with with ADP ertr-320 6 4 public public ADJ ertr-320 6 5 datasets dataset NOUN ertr-320 6 6 reveal reveal VERB ertr-320 6 7 that that SCONJ ertr-320 6 8 our our PRON ertr-320 6 9 approaches approach NOUN ertr-320 6 10 improve improve VERB ertr-320 6 11 upon upon SCONJ ertr-320 6 12 the the DET ertr-320 6 13 performance performance NOUN ertr-320 6 14 of of ADP ertr-320 6 15 conventional conventional ADJ ertr-320 6 16 methods method NOUN ertr-320 6 17 . . PUNCT ertr-320 7 1 key key ADJ ertr-320 7 2 words word NOUN ertr-320 7 3 : : PUNCT ertr-320 7 4 travel travel NOUN ertr-320 7 5 route route NOUN ertr-320 7 6 recommendation recommendation NOUN ertr-320 7 7 , , PUNCT ertr-320 7 8 lbsn lbsn NOUN ertr-320 7 9 , , PUNCT ertr-320 7 10 sightseeing sightseeing NOUN ertr-320 7 11 , , PUNCT ertr-320 7 12 matrix matrix NOUN ertr-320 7 13 factorization factorization NOUN ertr-320 7 14 junjie junjie NOUN ertr-320 7 15 sun sun PROPN ertr-320 7 16 department department PROPN ertr-320 7 17 of of ADP ertr-320 7 18 social social ADJ ertr-320 7 19 informatics informatic NOUN ertr-320 7 20 graduate graduate NOUN ertr-320 7 21 school school NOUN ertr-320 7 22 of of ADP ertr-320 7 23 informatics informatics PROPN ertr-320 7 24 kyoto kyoto PROPN ertr-320 7 25 university university PROPN ertr-320 7 26 yoshida yoshida PROPN ertr-320 7 27 - - PUNCT ertr-320 7 28 honmachi honmachi PROPN ertr-320 7 29 , , PUNCT ertr-320 7 30 sakyo sakyo PROPN ertr-320 7 31 - - PUNCT ertr-320 7 32 ku ku PROPN ertr-320 7 33 , , PUNCT ertr-320 7 34 kyoto kyoto PROPN ertr-320 7 35 606 606 NUM ertr-320 7 36 - - PUNCT ertr-320 7 37 8501 8501 NUM ertr-320 7 38 , , PUNCT ertr-320 7 39 japan japan PROPN ertr-320 7 40 email email NOUN ertr-320 7 41 : : PUNCT ertr-320 7 42 jj-sun@db.soc.i.kyoto-u.ac.jp jj-sun@db.soc.i.kyoto-u.ac.jp PROPN ertr-320 7 43 chenyi chenyi PROPN ertr-320 7 44 zhuang zhuang PROPN ertr-320 7 45 national national PROPN ertr-320 7 46 institute institute PROPN ertr-320 7 47 of of ADP ertr-320 7 48 advanced advanced ADJ ertr-320 7 49 industrial industrial ADJ ertr-320 7 50 science science NOUN ertr-320 7 51 and and CCONJ ertr-320 7 52 technology technology NOUN ertr-320 7 53 2 2 NUM ertr-320 7 54 - - SYM ertr-320 7 55 3 3 NUM ertr-320 7 56 - - SYM ertr-320 7 57 26 26 NUM ertr-320 7 58 aomi aomi NOUN ertr-320 7 59 , , PUNCT ertr-320 7 60 koto koto NOUN ertr-320 7 61 - - PUNCT ertr-320 7 62 ku ku NOUN ertr-320 7 63 , , PUNCT ertr-320 7 64 tokyo tokyo PROPN ertr-320 7 65 135 135 NUM ertr-320 7 66 - - SYM ertr-320 7 67 0064 0064 NUM ertr-320 7 68 japan japan PROPN ertr-320 7 69 email email NOUN ertr-320 7 70 : : PUNCT ertr-320 7 71 zhuangchenyi@gmail.com zhuangchenyi@gmail.com X ertr-320 7 72 qiang qiang PROPN ertr-320 7 73 ma ma PROPN ertr-320 7 74 department department PROPN ertr-320 7 75 of of ADP ertr-320 7 76 social social ADJ ertr-320 7 77 informatics informatic NOUN ertr-320 7 78 graduate graduate NOUN ertr-320 7 79 school school NOUN ertr-320 7 80 of of ADP ertr-320 7 81 informatics informatics PROPN ertr-320 7 82 kyoto kyoto PROPN ertr-320 7 83 university university PROPN ertr-320 7 84 yoshida yoshida PROPN ertr-320 7 85 - - PUNCT ertr-320 7 86 honmachi honmachi PROPN ertr-320 7 87 , , PUNCT ertr-320 7 88 sakyo sakyo PROPN ertr-320 7 89 - - PUNCT ertr-320 7 90 ku ku PROPN ertr-320 7 91 , , PUNCT ertr-320 7 92 kyoto kyoto PROPN ertr-320 7 93 606 606 NUM ertr-320 7 94 - - PUNCT ertr-320 7 95 8501 8501 NUM ertr-320 7 96 , , PUNCT ertr-320 7 97 japan japan PROPN ertr-320 7 98 email email NOUN ertr-320 7 99 : : PUNCT ertr-320 7 100 qiang@i.kyoto-u.ac.jp qiang@i.kyoto-u.ac.jp PROPN ertr-320 7 101 e e NOUN ertr-320 7 102 - - NOUN ertr-320 7 103 review review NOUN ertr-320 7 104 of of ADP ertr-320 7 105 tourism tourism NOUN ertr-320 7 106 research research NOUN ertr-320 7 107 ( ( PUNCT ertr-320 7 108 ertr ertr NOUN ertr-320 7 109 ) ) PUNCT ertr-320 7 110 , , PUNCT ertr-320 7 111 vol vol NOUN ertr-320 7 112 . . PROPN ertr-320 7 113 16 16 NUM ertr-320 7 114 , , PUNCT ertr-320 7 115 no no INTJ ertr-320 7 116 . . PUNCT ertr-320 7 117 2/3 2/3 NUM ertr-320 7 118 , , PUNCT ertr-320 7 119 2019 2019 NUM ertr-320 7 120 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 7 121 74 74 NUM ertr-320 7 122 introduction introduction NOUN ertr-320 7 123 the the DET ertr-320 7 124 development development NOUN ertr-320 7 125 of of ADP ertr-320 7 126 lbsn lbsn NOUN ertr-320 7 127 services service NOUN ertr-320 7 128 has have AUX ertr-320 7 129 increased increase VERB ertr-320 7 130 the the DET ertr-320 7 131 number number NOUN ertr-320 7 132 of of ADP ertr-320 7 133 user user NOUN ertr-320 7 134 - - PUNCT ertr-320 7 135 location location NOUN ertr-320 7 136 interaction interaction NOUN ertr-320 7 137 behaviours behaviour NOUN ertr-320 7 138 via via ADP ertr-320 7 139 various various ADJ ertr-320 7 140 devices device NOUN ertr-320 7 141 . . PUNCT ertr-320 8 1 it it PRON ertr-320 8 2 is be AUX ertr-320 8 3 an an DET ertr-320 8 4 important important ADJ ertr-320 8 5 task task NOUN ertr-320 8 6 to to PART ertr-320 8 7 help help VERB ertr-320 8 8 tourists tourist NOUN ertr-320 8 9 planning plan VERB ertr-320 8 10 their their PRON ertr-320 8 11 travel travel NOUN ertr-320 8 12 routes route NOUN ertr-320 8 13 in in ADP ertr-320 8 14 an an DET ertr-320 8 15 unfamiliar unfamiliar ADJ ertr-320 8 16 city city NOUN ertr-320 8 17 . . PUNCT ertr-320 9 1 travel travel NOUN ertr-320 9 2 route route NOUN ertr-320 9 3 recommendation recommendation NOUN ertr-320 9 4 , , PUNCT ertr-320 9 5 which which PRON ertr-320 9 6 is be AUX ertr-320 9 7 addressed address VERB ertr-320 9 8 in in ADP ertr-320 9 9 this this DET ertr-320 9 10 paper paper NOUN ertr-320 9 11 , , PUNCT ertr-320 9 12 aims aim VERB ertr-320 9 13 to to PART ertr-320 9 14 recommend recommend VERB ertr-320 9 15 a a DET ertr-320 9 16 sequence sequence NOUN ertr-320 9 17 of of ADP ertr-320 9 18 pois pois NOUN ertr-320 9 19 and and CCONJ ertr-320 9 20 to to PART ertr-320 9 21 satisfy satisfy VERB ertr-320 9 22 tourists tourist NOUN ertr-320 9 23 ’ ' PUNCT ertr-320 9 24 trip trip NOUN ertr-320 9 25 constraints constraint NOUN ertr-320 9 26 . . PUNCT ertr-320 10 1 recent recent ADJ ertr-320 10 2 studies study NOUN ertr-320 10 3 formulate formulate VERB ertr-320 10 4 travel travel NOUN ertr-320 10 5 route route NOUN ertr-320 10 6 recommendation recommendation NOUN ertr-320 10 7 problems problem NOUN ertr-320 10 8 based base VERB ertr-320 10 9 on on ADP ertr-320 10 10 the the DET ertr-320 10 11 orienteering orienteering ADJ ertr-320 10 12 problem problem NOUN ertr-320 10 13 model model NOUN ertr-320 10 14 ( ( PUNCT ertr-320 10 15 tsiligirides tsiligiride NOUN ertr-320 10 16 , , PUNCT ertr-320 10 17 1984 1984 NUM ertr-320 10 18 ) ) PUNCT ertr-320 10 19 in in ADP ertr-320 10 20 which which PRON ertr-320 10 21 tourists tourist NOUN ertr-320 10 22 earn earn VERB ertr-320 10 23 a a DET ertr-320 10 24 reward reward NOUN ertr-320 10 25 when when SCONJ ertr-320 10 26 they they PRON ertr-320 10 27 visit visit VERB ertr-320 10 28 one one NUM ertr-320 10 29 poi poi NOUN ertr-320 10 30 . . PUNCT ertr-320 11 1 the the DET ertr-320 11 2 travel travel NOUN ertr-320 11 3 path path NOUN ertr-320 11 4 with with ADP ertr-320 11 5 the the DET ertr-320 11 6 maximum maximum ADJ ertr-320 11 7 reward reward NOUN ertr-320 11 8 score score NOUN ertr-320 11 9 under under ADP ertr-320 11 10 several several ADJ ertr-320 11 11 trip trip NOUN ertr-320 11 12 constraints constraint NOUN ertr-320 11 13 will will AUX ertr-320 11 14 be be AUX ertr-320 11 15 recommended recommend VERB ertr-320 11 16 ( ( PUNCT ertr-320 11 17 friggstad friggstad NOUN ertr-320 11 18 et et PROPN ertr-320 11 19 al al PROPN ertr-320 11 20 . . PROPN ertr-320 11 21 , , PUNCT ertr-320 11 22 2018 2018 NUM ertr-320 11 23 ; ; PUNCT ertr-320 11 24 lim lim PROPN ertr-320 11 25 et et PROPN ertr-320 11 26 al al PROPN ertr-320 11 27 . . PROPN ertr-320 11 28 , , PUNCT ertr-320 11 29 2015 2015 NUM ertr-320 11 30 ; ; PUNCT ertr-320 11 31 vansteenwegen vansteenwegen PROPN ertr-320 11 32 et et PROPN ertr-320 11 33 al al PROPN ertr-320 11 34 . . PROPN ertr-320 11 35 , , PUNCT ertr-320 11 36 2011 2011 NUM ertr-320 11 37 ) ) PUNCT ertr-320 11 38 . . PUNCT ertr-320 12 1 the the DET ertr-320 12 2 userlocation userlocation PROPN ertr-320 12 3 relations relation NOUN ertr-320 12 4 ( ( PUNCT ertr-320 12 5 i.e. i.e. X ertr-320 12 6 , , PUNCT ertr-320 12 7 matching match VERB ertr-320 12 8 users user NOUN ertr-320 12 9 and and CCONJ ertr-320 12 10 locations location NOUN ertr-320 12 11 ) ) PUNCT ertr-320 12 12 are be AUX ertr-320 12 13 studied study VERB ertr-320 12 14 , , PUNCT ertr-320 12 15 and and CCONJ ertr-320 12 16 reward reward VERB ertr-320 12 17 scores score NOUN ertr-320 12 18 are be AUX ertr-320 12 19 assigned assign VERB ertr-320 12 20 to to ADP ertr-320 12 21 pois pois VERB ertr-320 12 22 which which PRON ertr-320 12 23 can can AUX ertr-320 12 24 be be AUX ertr-320 12 25 regarded regard VERB ertr-320 12 26 as as ADP ertr-320 12 27 tourist tourist NOUN ertr-320 12 28 preferences preference NOUN ertr-320 12 29 on on ADP ertr-320 12 30 pois pois NOUN ertr-320 12 31 . . PUNCT ertr-320 13 1 generally generally ADV ertr-320 13 2 , , PUNCT ertr-320 13 3 a a DET ertr-320 13 4 travel travel NOUN ertr-320 13 5 route route NOUN ertr-320 13 6 consists consist VERB ertr-320 13 7 of of ADP ertr-320 13 8 nodes node NOUN ertr-320 13 9 ( ( PUNCT ertr-320 13 10 i.e. i.e. X ertr-320 13 11 , , PUNCT ertr-320 13 12 locations location NOUN ertr-320 13 13 ) ) PUNCT ertr-320 13 14 and and CCONJ ertr-320 13 15 edges edge NOUN ertr-320 13 16 ( ( PUNCT ertr-320 13 17 i.e. i.e. X ertr-320 13 18 , , PUNCT ertr-320 13 19 the the DET ertr-320 13 20 transition transition NOUN ertr-320 13 21 between between ADP ertr-320 13 22 locations location NOUN ertr-320 13 23 ) ) PUNCT ertr-320 13 24 . . PUNCT ertr-320 14 1 transition transition NOUN ertr-320 14 2 patterns pattern NOUN ertr-320 14 3 can can AUX ertr-320 14 4 be be AUX ertr-320 14 5 regarded regard VERB ertr-320 14 6 as as ADP ertr-320 14 7 location location NOUN ertr-320 14 8 - - PUNCT ertr-320 14 9 location location NOUN ertr-320 14 10 relations relation NOUN ertr-320 14 11 . . PUNCT ertr-320 15 1 the the PRON ertr-320 15 2 higher high ADJ ertr-320 15 3 the the DET ertr-320 15 4 weight weight NOUN ertr-320 15 5 on on ADP ertr-320 15 6 the the DET ertr-320 15 7 transition transition NOUN ertr-320 15 8 , , PUNCT ertr-320 15 9 the the PRON ertr-320 15 10 tighter tight ADJ ertr-320 15 11 the the DET ertr-320 15 12 connection connection NOUN ertr-320 15 13 between between ADP ertr-320 15 14 two two NUM ertr-320 15 15 locations location NOUN ertr-320 15 16 . . PUNCT ertr-320 16 1 transition transition NOUN ertr-320 16 2 patterns pattern NOUN ertr-320 16 3 may may AUX ertr-320 16 4 also also ADV ertr-320 16 5 imply imply VERB ertr-320 16 6 some some DET ertr-320 16 7 valuable valuable ADJ ertr-320 16 8 sightseeing sightseeing NOUN ertr-320 16 9 routes route NOUN ertr-320 16 10 ( ( PUNCT ertr-320 16 11 paths path NOUN ertr-320 16 12 ) ) PUNCT ertr-320 16 13 , , PUNCT ertr-320 16 14 since since SCONJ ertr-320 16 15 some some DET ertr-320 16 16 pois pois NOUN ertr-320 16 17 are be AUX ertr-320 16 18 in in ADP ertr-320 16 19 a a DET ertr-320 16 20 sequential sequential ADJ ertr-320 16 21 structure structure NOUN ertr-320 16 22 or or CCONJ ertr-320 16 23 a a DET ertr-320 16 24 large large ADJ ertr-320 16 25 area area NOUN ertr-320 16 26 , , PUNCT ertr-320 16 27 and and CCONJ ertr-320 16 28 walking walk VERB ertr-320 16 29 through through ADP ertr-320 16 30 these these DET ertr-320 16 31 paths path NOUN ertr-320 16 32 is be AUX ertr-320 16 33 also also ADV ertr-320 16 34 a a DET ertr-320 16 35 part part NOUN ertr-320 16 36 of of ADP ertr-320 16 37 the the DET ertr-320 16 38 trip trip NOUN ertr-320 16 39 ( ( PUNCT ertr-320 16 40 e.g. e.g. ADV ertr-320 16 41 , , PUNCT ertr-320 16 42 a a DET ertr-320 16 43 park park NOUN ertr-320 16 44 or or CCONJ ertr-320 16 45 a a DET ertr-320 16 46 street street NOUN ertr-320 16 47 along along ADP ertr-320 16 48 the the DET ertr-320 16 49 way way NOUN ertr-320 16 50 to to ADP ertr-320 16 51 the the DET ertr-320 16 52 next next ADJ ertr-320 16 53 poi poi PROPN ertr-320 16 54 ) ) PUNCT ertr-320 16 55 . . PUNCT ertr-320 17 1 however however ADV ertr-320 17 2 , , PUNCT ertr-320 17 3 related related ADJ ertr-320 17 4 work work NOUN ertr-320 17 5 rarely rarely ADV ertr-320 17 6 considers consider VERB ertr-320 17 7 the the DET ertr-320 17 8 edges edge NOUN ertr-320 17 9 ( ( PUNCT ertr-320 17 10 i.e. i.e. X ertr-320 17 11 , , PUNCT ertr-320 17 12 transition transition NOUN ertr-320 17 13 knowledge knowledge NOUN ertr-320 17 14 ) ) PUNCT ertr-320 17 15 of of ADP ertr-320 17 16 the the DET ertr-320 17 17 specific specific ADJ ertr-320 17 18 target target NOUN ertr-320 17 19 travel travel NOUN ertr-320 17 20 city city NOUN ertr-320 17 21 . . PUNCT ertr-320 18 1 most most ADJ ertr-320 18 2 of of ADP ertr-320 18 3 them they PRON ertr-320 18 4 model model NOUN ertr-320 18 5 edges edge NOUN ertr-320 18 6 as as ADP ertr-320 18 7 constraints constraint NOUN ertr-320 18 8 : : PUNCT ertr-320 18 9 in in ADP ertr-320 18 10 general general ADJ ertr-320 18 11 orienteeringproblem orienteeringproblem NOUN ertr-320 18 12 based base VERB ertr-320 18 13 approaches approach NOUN ertr-320 18 14 ( ( PUNCT ertr-320 18 15 vansteenwegen vansteenwegen PROPN ertr-320 18 16 et et PROPN ertr-320 18 17 al al PROPN ertr-320 18 18 . . PROPN ertr-320 18 19 , , PUNCT ertr-320 18 20 2011 2011 NUM ertr-320 18 21 ; ; PUNCT ertr-320 18 22 kurata kurata PROPN ertr-320 18 23 et et PROPN ertr-320 18 24 al al PROPN ertr-320 18 25 . . PROPN ertr-320 18 26 , , PUNCT ertr-320 18 27 2011 2011 NUM ertr-320 18 28 ) ) PUNCT ertr-320 18 29 , , PUNCT ertr-320 18 30 the the DET ertr-320 18 31 travel travel NOUN ertr-320 18 32 time time NOUN ertr-320 18 33 cost cost NOUN ertr-320 18 34 on on ADP ertr-320 18 35 transitions transition NOUN ertr-320 18 36 is be AUX ertr-320 18 37 considered consider VERB ertr-320 18 38 ; ; PUNCT ertr-320 18 39 traffic traffic NOUN ertr-320 18 40 conditions condition NOUN ertr-320 18 41 are be AUX ertr-320 18 42 considered consider VERB ertr-320 18 43 in in ADP ertr-320 18 44 ( ( PUNCT ertr-320 18 45 chen chen PROPN ertr-320 18 46 et et PROPN ertr-320 18 47 al al PROPN ertr-320 18 48 . . PROPN ertr-320 18 49 , , PUNCT ertr-320 18 50 2015 2015 NUM ertr-320 18 51 ) ) PUNCT ertr-320 18 52 , , PUNCT ertr-320 18 53 which which PRON ertr-320 18 54 uses use VERB ertr-320 18 55 traffic traffic NOUN ertr-320 18 56 - - PUNCT ertr-320 18 57 aware aware ADJ ertr-320 18 58 edge edge NOUN ertr-320 18 59 constraints constraint NOUN ertr-320 18 60 ; ; PUNCT ertr-320 18 61 uncertain uncertain ADJ ertr-320 18 62 travel travel NOUN ertr-320 18 63 time time NOUN ertr-320 18 64 between between ADP ertr-320 18 65 pois pois NOUN ertr-320 18 66 is be AUX ertr-320 18 67 considered consider VERB ertr-320 18 68 in in ADP ertr-320 18 69 ( ( PUNCT ertr-320 18 70 zhang zhang X ertr-320 18 71 et et PROPN ertr-320 18 72 al al PROPN ertr-320 18 73 . . PROPN ertr-320 18 74 , , PUNCT ertr-320 18 75 2016 2016 NUM ertr-320 18 76 ) ) PUNCT ertr-320 18 77 . . PUNCT ertr-320 19 1 in in ADP ertr-320 19 2 ( ( PUNCT ertr-320 19 3 zhuang zhuang PROPN ertr-320 19 4 et et PROPN ertr-320 19 5 al al PROPN ertr-320 19 6 . . PROPN ertr-320 19 7 , , PUNCT ertr-320 19 8 2017 2017 NUM ertr-320 19 9 ) ) PUNCT ertr-320 19 10 , , PUNCT ertr-320 19 11 pois pois PROPN ertr-320 19 12 are be AUX ertr-320 19 13 recommended recommend VERB ertr-320 19 14 by by ADP ertr-320 19 15 using use VERB ertr-320 19 16 enriched enrich VERB ertr-320 19 17 locationlocation locationlocation NOUN ertr-320 19 18 features feature NOUN ertr-320 19 19 . . PUNCT ertr-320 20 1 in in ADP ertr-320 20 2 ( ( PUNCT ertr-320 20 3 liu liu PROPN ertr-320 20 4 et et PROPN ertr-320 20 5 al al PROPN ertr-320 20 6 . . PROPN ertr-320 20 7 , , PUNCT ertr-320 20 8 2016 2016 NUM ertr-320 20 9 ) ) PUNCT ertr-320 20 10 , , PUNCT ertr-320 20 11 the the DET ertr-320 20 12 users user NOUN ertr-320 20 13 ’ ' PUNCT ertr-320 20 14 next next ADJ ertr-320 20 15 visited visit VERB ertr-320 20 16 location location NOUN ertr-320 20 17 is be AUX ertr-320 20 18 predicted predict VERB ertr-320 20 19 , , PUNCT ertr-320 20 20 while while SCONJ ertr-320 20 21 a a DET ertr-320 20 22 deep deep ADJ ertr-320 20 23 learning learning NOUN ertr-320 20 24 approach approach NOUN ertr-320 20 25 with with ADP ertr-320 20 26 tong tong PROPN ertr-320 20 27 short short ADJ ertr-320 20 28 - - PUNCT ertr-320 20 29 term term NOUN ertr-320 20 30 memory memory NOUN ertr-320 20 31 ( ( PUNCT ertr-320 20 32 lstm lstm NOUN ertr-320 20 33 ) ) PUNCT ertr-320 20 34 that that PRON ertr-320 20 35 integrates integrate VERB ertr-320 20 36 next next ADJ ertr-320 20 37 - - PUNCT ertr-320 20 38 location location NOUN ertr-320 20 39 prediction prediction NOUN ertr-320 20 40 into into ADP ertr-320 20 41 travel travel NOUN ertr-320 20 42 route route NOUN ertr-320 20 43 planning planning NOUN ertr-320 20 44 is be AUX ertr-320 20 45 proposed propose VERB ertr-320 20 46 in in ADP ertr-320 20 47 ( ( PUNCT ertr-320 20 48 xu xu INTJ ertr-320 20 49 et et PROPN ertr-320 20 50 al al PROPN ertr-320 20 51 . . PROPN ertr-320 20 52 , , PUNCT ertr-320 20 53 2017 2017 NUM ertr-320 20 54 ) ) PUNCT ertr-320 20 55 , , PUNCT ertr-320 20 56 which which PRON ertr-320 20 57 can can AUX ertr-320 20 58 be be AUX ertr-320 20 59 regarded regard VERB ertr-320 20 60 as as ADP ertr-320 20 61 e e NOUN ertr-320 20 62 - - NOUN ertr-320 20 63 review review NOUN ertr-320 20 64 of of ADP ertr-320 20 65 tourism tourism NOUN ertr-320 20 66 research research NOUN ertr-320 20 67 ( ( PUNCT ertr-320 20 68 ertr ertr NOUN ertr-320 20 69 ) ) PUNCT ertr-320 20 70 , , PUNCT ertr-320 20 71 vol vol NOUN ertr-320 20 72 . . PROPN ertr-320 21 1 16 16 NUM ertr-320 21 2 , , PUNCT ertr-320 21 3 no no INTJ ertr-320 21 4 . . PUNCT ertr-320 22 1 2/3 2/3 NUM ertr-320 22 2 , , PUNCT ertr-320 22 3 2019 2019 NUM ertr-320 22 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 22 5 75 75 NUM ertr-320 22 6 leveraging leverage VERB ertr-320 22 7 transition transition NOUN ertr-320 22 8 patterns pattern NOUN ertr-320 22 9 . . PUNCT ertr-320 23 1 in in ADP ertr-320 23 2 ( ( PUNCT ertr-320 23 3 chen chen PROPN ertr-320 23 4 et et PROPN ertr-320 23 5 al al PROPN ertr-320 23 6 . . PROPN ertr-320 23 7 , , PUNCT ertr-320 23 8 2016 2016 NUM ertr-320 23 9 ) ) PUNCT ertr-320 23 10 , , PUNCT ertr-320 23 11 transition transition NOUN ertr-320 23 12 reward reward NOUN ertr-320 23 13 is be AUX ertr-320 23 14 included include VERB ertr-320 23 15 into into ADP ertr-320 23 16 the the DET ertr-320 23 17 travel travel NOUN ertr-320 23 18 route route NOUN ertr-320 23 19 recommendation recommendation NOUN ertr-320 23 20 objective objective ADJ ertr-320 23 21 function function NOUN ertr-320 23 22 , , PUNCT ertr-320 23 23 and and CCONJ ertr-320 23 24 travel travel NOUN ertr-320 23 25 routes route NOUN ertr-320 23 26 based base VERB ertr-320 23 27 on on ADP ertr-320 23 28 both both PRON ertr-320 23 29 pois pois NOUN ertr-320 23 30 and and CCONJ ertr-320 23 31 transition transition NOUN ertr-320 23 32 probability probability NOUN ertr-320 23 33 are be AUX ertr-320 23 34 recommended recommend VERB ertr-320 23 35 . . PUNCT ertr-320 24 1 their their PRON ertr-320 24 2 transition transition NOUN ertr-320 24 3 probability probability NOUN ertr-320 24 4 is be AUX ertr-320 24 5 factorized factorize VERB ertr-320 24 6 from from ADP ertr-320 24 7 explicit explicit ADJ ertr-320 24 8 featurepairs featurepair NOUN ertr-320 24 9 such such ADJ ertr-320 24 10 as as ADP ertr-320 24 11 the the DET ertr-320 24 12 poi poi PROPN ertr-320 24 13 popularity popularity NOUN ertr-320 24 14 and and CCONJ ertr-320 24 15 category category NOUN ertr-320 24 16 ( ( PUNCT ertr-320 24 17 i.e. i.e. X ertr-320 24 18 , , PUNCT ertr-320 24 19 shopping shopping NOUN ertr-320 24 20 - - PUNCT ertr-320 24 21 park park NOUN ertr-320 24 22 or or CCONJ ertr-320 24 23 popular popular ADJ ertr-320 24 24 - - PUNCT ertr-320 24 25 unpopular unpopular ADJ ertr-320 24 26 pairs pair NOUN ertr-320 24 27 ) ) PUNCT ertr-320 24 28 . . PUNCT ertr-320 25 1 therefore therefore ADV ertr-320 25 2 , , PUNCT ertr-320 25 3 the the DET ertr-320 25 4 dependency dependency NOUN ertr-320 25 5 between between ADP ertr-320 25 6 locations location NOUN ertr-320 25 7 caused cause VERB ertr-320 25 8 by by ADP ertr-320 25 9 spatial spatial ADJ ertr-320 25 10 - - PUNCT ertr-320 25 11 temporal temporal ADJ ertr-320 25 12 factors factor NOUN ertr-320 25 13 has have AUX ertr-320 25 14 not not PART ertr-320 25 15 been be AUX ertr-320 25 16 considered consider VERB ertr-320 25 17 so so ADV ertr-320 25 18 far far ADV ertr-320 25 19 in in ADP ertr-320 25 20 previous previous ADJ ertr-320 25 21 works work NOUN ertr-320 25 22 that that PRON ertr-320 25 23 combine combine VERB ertr-320 25 24 both both DET ertr-320 25 25 points point NOUN ertr-320 25 26 and and CCONJ ertr-320 25 27 transitions transition NOUN ertr-320 25 28 to to PART ertr-320 25 29 recommend recommend VERB ertr-320 25 30 travel travel NOUN ertr-320 25 31 route route NOUN ertr-320 25 32 . . PUNCT ertr-320 26 1 in in ADP ertr-320 26 2 this this DET ertr-320 26 3 paper paper NOUN ertr-320 26 4 , , PUNCT ertr-320 26 5 we we PRON ertr-320 26 6 propose propose VERB ertr-320 26 7 a a DET ertr-320 26 8 spatial spatial ADJ ertr-320 26 9 - - PUNCT ertr-320 26 10 temporal temporal ADJ ertr-320 26 11 enhanced enhanced ADJ ertr-320 26 12 latent latent NOUN ertr-320 26 13 factorization factorization NOUN ertr-320 26 14 model model NOUN ertr-320 26 15 to to PART ertr-320 26 16 study study VERB ertr-320 26 17 the the DET ertr-320 26 18 connections connection NOUN ertr-320 26 19 between between ADP ertr-320 26 20 locations location NOUN ertr-320 26 21 , , PUNCT ertr-320 26 22 and and CCONJ ertr-320 26 23 the the DET ertr-320 26 24 experimental experimental ADJ ertr-320 26 25 results result NOUN ertr-320 26 26 reveal reveal VERB ertr-320 26 27 the the DET ertr-320 26 28 efficiency efficiency NOUN ertr-320 26 29 of of ADP ertr-320 26 30 spatial spatial ADJ ertr-320 26 31 - - PUNCT ertr-320 26 32 temporal temporal ADJ ertr-320 26 33 influences influence NOUN ertr-320 26 34 between between ADP ertr-320 26 35 locations location NOUN ertr-320 26 36 . . PUNCT ertr-320 27 1 travel travel NOUN ertr-320 27 2 route route NOUN ertr-320 27 3 recommendation recommendation NOUN ertr-320 27 4 1 1 NUM ertr-320 27 5 . . PUNCT ertr-320 27 6 objective objective ADJ ertr-320 27 7 function function NOUN ertr-320 27 8 : : PUNCT ertr-320 27 9 given give VERB ertr-320 27 10 a a DET ertr-320 27 11 user user NOUN ertr-320 27 12 query query NOUN ertr-320 27 13 ( ( PUNCT ertr-320 27 14 𝑝 𝑝 NOUN ertr-320 27 15 # # ADJ ertr-320 27 16 , , PUNCT ertr-320 27 17 𝑝% 𝑝% PROPN ertr-320 27 18 , , PUNCT ertr-320 27 19 𝐿 𝐿 PROPN ertr-320 27 20 ) ) PUNCT ertr-320 27 21 in in ADP ertr-320 27 22 which which PRON ertr-320 27 23 𝑝 𝑝 NOUN ertr-320 27 24 # # NOUN ertr-320 27 25 and and CCONJ ertr-320 27 26 𝑝% 𝑝% NOUN ertr-320 27 27 represent represent VERB ertr-320 27 28 the the DET ertr-320 27 29 origin origin NOUN ertr-320 27 30 and and CCONJ ertr-320 27 31 destination destination NOUN ertr-320 27 32 points point NOUN ertr-320 27 33 , , PUNCT ertr-320 27 34 respectively respectively ADV ertr-320 27 35 . . PUNCT ertr-320 28 1 𝐿 𝐿 PROPN ertr-320 28 2 represents represent VERB ertr-320 28 3 the the DET ertr-320 28 4 travel travel NOUN ertr-320 28 5 length length NOUN ertr-320 28 6 budget budget NOUN ertr-320 28 7 , , PUNCT ertr-320 28 8 i.e. i.e. X ertr-320 28 9 , , PUNCT ertr-320 28 10 how how SCONJ ertr-320 28 11 many many ADJ ertr-320 28 12 pois pois NOUN ertr-320 28 13 one one PRON ertr-320 28 14 wants want VERB ertr-320 28 15 to to PART ertr-320 28 16 visit visit VERB ertr-320 28 17 . . PUNCT ertr-320 29 1 a a DET ertr-320 29 2 common common ADJ ertr-320 29 3 travel travel NOUN ertr-320 29 4 route route NOUN ertr-320 29 5 recommendation recommendation NOUN ertr-320 29 6 problem problem NOUN ertr-320 29 7 definition definition NOUN ertr-320 29 8 and and CCONJ ertr-320 29 9 objective objective ADJ ertr-320 29 10 function function NOUN ertr-320 29 11 are be AUX ertr-320 29 12 given give VERB ertr-320 29 13 in in ADP ertr-320 29 14 ( ( PUNCT ertr-320 29 15 lim lim PROPN ertr-320 29 16 et et PROPN ertr-320 29 17 al al PROPN ertr-320 29 18 . . PROPN ertr-320 29 19 , , PUNCT ertr-320 29 20 2015 2015 NUM ertr-320 29 21 ; ; PUNCT ertr-320 29 22 chen chen PROPN ertr-320 29 23 et et PROPN ertr-320 29 24 al al PROPN ertr-320 29 25 . . PROPN ertr-320 29 26 , , PUNCT ertr-320 29 27 2016 2016 NUM ertr-320 29 28 ) ) PUNCT ertr-320 29 29 . . PUNCT ertr-320 30 1 basically basically ADV ertr-320 30 2 , , PUNCT ertr-320 30 3 there there PRON ertr-320 30 4 are be VERB ertr-320 30 5 𝑁 𝑁 PROPN ertr-320 30 6 pois pois NOUN ertr-320 30 7 ; ; PUNCT ertr-320 30 8 and and CCONJ ertr-320 30 9 let let VERB ertr-320 30 10 𝑃 𝑃 VERB ertr-320 30 11 = = SYM ertr-320 30 12 { { PUNCT ertr-320 30 13 𝑝 𝑝 NOUN ertr-320 30 14 , , PUNCT ertr-320 30 15 , , PUNCT ertr-320 30 16 𝑝- 𝑝- X ertr-320 30 17 , , PUNCT ertr-320 30 18 … … PUNCT ertr-320 30 19 , , PUNCT ertr-320 30 20 𝑝/ 𝑝/ NOUN ertr-320 30 21 } } PUNCT ertr-320 30 22 in in ADP ertr-320 30 23 the the DET ertr-320 30 24 target target NOUN ertr-320 30 25 travel travel NOUN ertr-320 30 26 city city NOUN ertr-320 30 27 . . PUNCT ertr-320 31 1 a a DET ertr-320 31 2 travel travel NOUN ertr-320 31 3 route route NOUN ertr-320 31 4 is be AUX ertr-320 31 5 recommended recommend VERB ertr-320 31 6 according accord VERB ertr-320 31 7 to to ADP ertr-320 31 8 the the DET ertr-320 31 9 user user NOUN ertr-320 31 10 query query NOUN ertr-320 31 11 by by ADP ertr-320 31 12 solving solve VERB ertr-320 31 13 the the DET ertr-320 31 14 following follow VERB ertr-320 31 15 objective objective ADJ ertr-320 31 16 function function NOUN ertr-320 31 17 : : PUNCT ertr-320 31 18 max44π‘₯67𝑅(𝑝7|𝑝6 max44π‘₯67𝑅(𝑝7|𝑝6 X ertr-320 31 19 ) ) PUNCT ertr-320 31 20 / / SYM ertr-320 32 1 7:/ 7:/ NUM ertr-320 32 2 ; ; PUNCT ertr-320 32 3 , , PUNCT ertr-320 32 4 6 6 NUM ertr-320 32 5 : : PUNCT ertr-320 32 6 , , PUNCT ertr-320 32 7 ( ( PUNCT ertr-320 32 8 1 1 X ertr-320 32 9 ) ) PUNCT ertr-320 32 10 𝑅 𝑅 PROPN ertr-320 32 11 is be AUX ertr-320 32 12 the the DET ertr-320 32 13 reward reward NOUN ertr-320 32 14 function function NOUN ertr-320 32 15 ; ; PUNCT ertr-320 32 16 𝑁 𝑁 PROPN ertr-320 32 17 is be AUX ertr-320 32 18 the the DET ertr-320 32 19 available available ADJ ertr-320 32 20 number number NOUN ertr-320 32 21 of of ADP ertr-320 32 22 pois pois NOUN ertr-320 32 23 in in ADP ertr-320 32 24 the the DET ertr-320 32 25 city city NOUN ertr-320 32 26 ; ; PUNCT ertr-320 32 27 π‘₯67 π‘₯67 PROPN ertr-320 32 28 is be AUX ertr-320 32 29 a a DET ertr-320 32 30 binary binary ADJ ertr-320 32 31 indicator indicator NOUN ertr-320 32 32 that that PRON ertr-320 32 33 equals equal VERB ertr-320 32 34 1 1 NUM ertr-320 32 35 when when SCONJ ertr-320 32 36 users user NOUN ertr-320 32 37 travel travel VERB ertr-320 32 38 from from ADP ertr-320 32 39 𝑝6 𝑝6 NOUN ertr-320 32 40 to to ADP ertr-320 32 41 𝑝7 𝑝7 PROPN ertr-320 32 42 , , PUNCT ertr-320 32 43 and and CCONJ ertr-320 32 44 equals equal VERB ertr-320 32 45 0 0 PUNCT ertr-320 32 46 otherwise otherwise ADV ertr-320 32 47 . . PUNCT ertr-320 33 1 it it PRON ertr-320 33 2 is be AUX ertr-320 33 3 subject subject ADJ ertr-320 33 4 to to ADP ertr-320 33 5 several several ADJ ertr-320 33 6 constraints constraint NOUN ertr-320 33 7 such such ADJ ertr-320 33 8 as as ADP ertr-320 33 9 the the DET ertr-320 33 10 requirement requirement NOUN ertr-320 33 11 that that SCONJ ertr-320 33 12 a a DET ertr-320 33 13 travel travel NOUN ertr-320 33 14 route route NOUN ertr-320 33 15 must must AUX ertr-320 33 16 start start VERB ertr-320 33 17 from from ADP ertr-320 33 18 𝑝 𝑝 NOUN ertr-320 33 19 # # NOUN ertr-320 33 20 and and CCONJ ertr-320 33 21 end end NOUN ertr-320 33 22 at at ADP ertr-320 33 23 𝑝% 𝑝% NOUN ertr-320 33 24 and and CCONJ ertr-320 33 25 the the DET ertr-320 33 26 travel travel NOUN ertr-320 33 27 budget budget NOUN ertr-320 33 28 . . PUNCT ertr-320 34 1 in in ADP ertr-320 34 2 this this DET ertr-320 34 3 paper paper NOUN ertr-320 34 4 , , PUNCT ertr-320 34 5 we we PRON ertr-320 34 6 consider consider VERB ertr-320 34 7 the the DET ertr-320 34 8 travel travel NOUN ertr-320 34 9 length length NOUN ertr-320 34 10 budget budget NOUN ertr-320 34 11 . . PUNCT ertr-320 35 1 due due ADP ertr-320 35 2 to to ADP ertr-320 35 3 the the DET ertr-320 35 4 space space NOUN ertr-320 35 5 limitation limitation NOUN ertr-320 35 6 , , PUNCT ertr-320 35 7 please please INTJ ertr-320 35 8 refer refer VERB ertr-320 35 9 to to ADP ertr-320 35 10 related related ADJ ertr-320 35 11 work work NOUN ertr-320 35 12 for for ADP ertr-320 35 13 the the DET ertr-320 35 14 details detail NOUN ertr-320 35 15 of of ADP ertr-320 35 16 that that DET ertr-320 35 17 constraints constraint NOUN ertr-320 35 18 . . PUNCT ertr-320 36 1 e e X ertr-320 36 2 - - NOUN ertr-320 36 3 review review NOUN ertr-320 36 4 of of ADP ertr-320 36 5 tourism tourism NOUN ertr-320 36 6 research research NOUN ertr-320 36 7 ( ( PUNCT ertr-320 36 8 ertr ertr NOUN ertr-320 36 9 ) ) PUNCT ertr-320 36 10 , , PUNCT ertr-320 36 11 vol vol NOUN ertr-320 36 12 . . PROPN ertr-320 36 13 16 16 NUM ertr-320 36 14 , , PUNCT ertr-320 36 15 no no INTJ ertr-320 36 16 . . PUNCT ertr-320 37 1 2/3 2/3 NUM ertr-320 37 2 , , PUNCT ertr-320 37 3 2019 2019 NUM ertr-320 37 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 37 5 76 76 NUM ertr-320 37 6 similar similar ADJ ertr-320 37 7 to to ADP ertr-320 37 8 ( ( PUNCT ertr-320 37 9 chen chen PROPN ertr-320 37 10 et et PROPN ertr-320 37 11 al al PROPN ertr-320 37 12 . . PROPN ertr-320 37 13 , , PUNCT ertr-320 37 14 2016 2016 NUM ertr-320 37 15 ) ) PUNCT ertr-320 37 16 , , PUNCT ertr-320 37 17 we we PRON ertr-320 37 18 model model VERB ertr-320 37 19 transition transition NOUN ertr-320 37 20 rewards reward VERB ertr-320 37 21 into into ADP ertr-320 37 22 the the DET ertr-320 37 23 reward reward NOUN ertr-320 37 24 function function NOUN ertr-320 37 25 in in ADP ertr-320 37 26 eq eq ADP ertr-320 37 27 . . PROPN ertr-320 37 28 1 1 NUM ertr-320 37 29 as as ADP ertr-320 37 30 below below ADV ertr-320 37 31 : : PUNCT ertr-320 37 32 𝑅<𝑝7=𝑝6 𝑅<𝑝7=𝑝6 ADJ ertr-320 37 33 > > X ertr-320 37 34 = = PUNCT ertr-320 37 35 𝛼𝑅a<𝑝7 𝛼𝑅a<𝑝7 NOUN ertr-320 37 36 > > X ertr-320 37 37 + + CCONJ ertr-320 37 38 ( ( PUNCT ertr-320 37 39 1 1 NUM ertr-320 37 40 βˆ’ βˆ’ NOUN ertr-320 37 41 𝛼)𝑅e(𝑝7|𝑝6 𝛼)𝑅e(𝑝7|𝑝6 NOUN ertr-320 37 42 ) ) PUNCT ertr-320 37 43 , , PUNCT ertr-320 37 44 ( ( PUNCT ertr-320 37 45 2 2 X ertr-320 37 46 ) ) PUNCT ertr-320 38 1 where where SCONJ ertr-320 38 2 𝑅a 𝑅a NOUN ertr-320 38 3 and and CCONJ ertr-320 38 4 𝑅e 𝑅e PROPN ertr-320 38 5 represent represent VERB ertr-320 38 6 point point NOUN ertr-320 38 7 reward reward NOUN ertr-320 38 8 and and CCONJ ertr-320 38 9 transition transition NOUN ertr-320 38 10 reward reward NOUN ertr-320 38 11 , , PUNCT ertr-320 38 12 which which PRON ertr-320 38 13 are be AUX ertr-320 38 14 defined define VERB ertr-320 38 15 in in ADP ertr-320 38 16 the the DET ertr-320 38 17 following follow VERB ertr-320 38 18 sections section NOUN ertr-320 38 19 ; ; PUNCT ertr-320 38 20 and and CCONJ ertr-320 38 21 𝛼 𝛼 X ertr-320 38 22 ∈ ∈ PROPN ertr-320 38 23 ( ( PUNCT ertr-320 38 24 0 0 NUM ertr-320 38 25 , , PUNCT ertr-320 38 26 1 1 NUM ertr-320 38 27 ) ) PUNCT ertr-320 38 28 is be AUX ertr-320 38 29 a a DET ertr-320 38 30 trade trade NOUN ertr-320 38 31 - - PUNCT ertr-320 38 32 off off ADP ertr-320 38 33 parameter parameter NOUN ertr-320 38 34 that that PRON ertr-320 38 35 indicates indicate VERB ertr-320 38 36 the the DET ertr-320 38 37 importance importance NOUN ertr-320 38 38 of of ADP ertr-320 38 39 the the DET ertr-320 38 40 point point NOUN ertr-320 38 41 and and CCONJ ertr-320 38 42 transition transition NOUN ertr-320 38 43 rewards reward NOUN ertr-320 38 44 . . PUNCT ertr-320 39 1 2 2 X ertr-320 39 2 . . X ertr-320 39 3 poi poi PROPN ertr-320 39 4 reward reward PROPN ertr-320 39 5 : : PUNCT ertr-320 39 6 we we PRON ertr-320 39 7 assign assign VERB ertr-320 39 8 rewards reward NOUN ertr-320 39 9 to to ADP ertr-320 39 10 pois pois VERB ertr-320 39 11 by by ADP ertr-320 39 12 considering consider VERB ertr-320 39 13 user user NOUN ertr-320 39 14 - - PUNCT ertr-320 39 15 location location NOUN ertr-320 39 16 relations relation NOUN ertr-320 39 17 . . PUNCT ertr-320 40 1 since since SCONJ ertr-320 40 2 it it PRON ertr-320 40 3 is be AUX ertr-320 40 4 a a DET ertr-320 40 5 well well ADV ertr-320 40 6 - - PUNCT ertr-320 40 7 studied study VERB ertr-320 40 8 area area NOUN ertr-320 40 9 , , PUNCT ertr-320 40 10 we we PRON ertr-320 40 11 directly directly ADV ertr-320 40 12 leverage leverage VERB ertr-320 40 13 the the DET ertr-320 40 14 proposed propose VERB ertr-320 40 15 method method NOUN ertr-320 40 16 in in ADP ertr-320 40 17 ( ( PUNCT ertr-320 40 18 chen chen PROPN ertr-320 40 19 et et PROPN ertr-320 40 20 al al PROPN ertr-320 40 21 . . PROPN ertr-320 40 22 , , PUNCT ertr-320 40 23 2016 2016 NUM ertr-320 40 24 ) ) PUNCT ertr-320 40 25 to to PART ertr-320 40 26 assign assign VERB ertr-320 40 27 rewards reward NOUN ertr-320 40 28 to to ADP ertr-320 40 29 pois pois NOUN ertr-320 40 30 . . PUNCT ertr-320 41 1 it it PRON ertr-320 41 2 is be AUX ertr-320 41 3 called call VERB ertr-320 41 4 poirank poirank ADJ ertr-320 41 5 , , PUNCT ertr-320 41 6 which which PRON ertr-320 41 7 uses use VERB ertr-320 41 8 rank rank NOUN ertr-320 41 9 support support NOUN ertr-320 41 10 vector vector NOUN ertr-320 41 11 machine machine NOUN ertr-320 41 12 ( ( PUNCT ertr-320 41 13 ranksvm ranksvm PROPN ertr-320 41 14 ) ) PUNCT ertr-320 41 15 ( ( PUNCT ertr-320 41 16 ching ching PROPN ertr-320 41 17 - - PUNCT ertr-320 41 18 pei pei PROPN ertr-320 41 19 , , PUNCT ertr-320 41 20 2014 2014 NUM ertr-320 41 21 ) ) PUNCT ertr-320 41 22 with with ADP ertr-320 41 23 features feature NOUN ertr-320 41 24 such such ADJ ertr-320 41 25 as as ADP ertr-320 41 26 category category NOUN ertr-320 41 27 , , PUNCT ertr-320 41 28 popularity popularity NOUN ertr-320 41 29 , , PUNCT ertr-320 41 30 and and CCONJ ertr-320 41 31 average average ADJ ertr-320 41 32 visit visit NOUN ertr-320 41 33 duration duration NOUN ertr-320 41 34 to to PART ertr-320 41 35 rank rank VERB ertr-320 41 36 all all DET ertr-320 41 37 pois pois NOUN ertr-320 41 38 . . PUNCT ertr-320 42 1 finally finally ADV ertr-320 42 2 , , PUNCT ertr-320 42 3 a a DET ertr-320 42 4 softmax softmax NOUN ertr-320 42 5 function function NOUN ertr-320 42 6 is be AUX ertr-320 42 7 used use VERB ertr-320 42 8 to to PART ertr-320 42 9 transfer transfer VERB ertr-320 42 10 rank rank NOUN ertr-320 42 11 scores score NOUN ertr-320 42 12 to to ADP ertr-320 42 13 poi poi PROPN ertr-320 42 14 rewards reward NOUN ertr-320 42 15 . . PUNCT ertr-320 43 1 they they PRON ertr-320 43 2 are be AUX ertr-320 43 3 represented represent VERB ertr-320 43 4 as as ADP ertr-320 43 5 𝑅a<𝑝7 𝑅a<𝑝7 PROPN ertr-320 43 6 > > X ertr-320 43 7 . . PUNCT ertr-320 44 1 3 3 X ertr-320 44 2 . . X ertr-320 44 3 transition transition NOUN ertr-320 44 4 reward reward NOUN ertr-320 44 5 : : PUNCT ertr-320 44 6 to to PART ertr-320 44 7 improve improve VERB ertr-320 44 8 the the DET ertr-320 44 9 recommended recommend VERB ertr-320 44 10 travel travel NOUN ertr-320 44 11 route route NOUN ertr-320 44 12 quality quality NOUN ertr-320 44 13 , , PUNCT ertr-320 44 14 which which PRON ertr-320 44 15 makes make VERB ertr-320 44 16 the the DET ertr-320 44 17 route route NOUN ertr-320 44 18 planning planning NOUN ertr-320 44 19 order order NOUN ertr-320 44 20 aware aware ADJ ertr-320 44 21 , , PUNCT ertr-320 44 22 we we PRON ertr-320 44 23 regard regard VERB ertr-320 44 24 transition transition NOUN ertr-320 44 25 patterns pattern NOUN ertr-320 44 26 as as ADP ertr-320 44 27 rewards reward NOUN ertr-320 44 28 on on ADP ertr-320 44 29 transitions transition NOUN ertr-320 44 30 . . PUNCT ertr-320 45 1 since since SCONJ ertr-320 45 2 transitions transition NOUN ertr-320 45 3 that that PRON ertr-320 45 4 we we PRON ertr-320 45 5 can can AUX ertr-320 45 6 observe observe VERB ertr-320 45 7 are be AUX ertr-320 45 8 incomplete incomplete ADJ ertr-320 45 9 and and CCONJ ertr-320 45 10 the the DET ertr-320 45 11 new new ADJ ertr-320 45 12 poi poi PROPN ertr-320 45 13 has have VERB ertr-320 45 14 no no DET ertr-320 45 15 transitions transition NOUN ertr-320 45 16 , , PUNCT ertr-320 45 17 we we PRON ertr-320 45 18 need need VERB ertr-320 45 19 to to PART ertr-320 45 20 infer infer VERB ertr-320 45 21 transition transition NOUN ertr-320 45 22 rewards reward NOUN ertr-320 45 23 from from ADP ertr-320 45 24 observed observed ADJ ertr-320 45 25 data datum NOUN ertr-320 45 26 . . PUNCT ertr-320 46 1 unlike unlike ADP ertr-320 46 2 explicitly explicitly ADV ertr-320 46 3 factorize factorize VERB ertr-320 46 4 feature feature NOUN ertr-320 46 5 pairs pair NOUN ertr-320 46 6 in in ADP ertr-320 46 7 ( ( PUNCT ertr-320 46 8 chen chen PROPN ertr-320 46 9 et et PROPN ertr-320 46 10 al al PROPN ertr-320 46 11 . . PROPN ertr-320 46 12 , , PUNCT ertr-320 46 13 2016 2016 NUM ertr-320 46 14 ) ) PUNCT ertr-320 46 15 , , PUNCT ertr-320 46 16 we we PRON ertr-320 46 17 use use VERB ertr-320 46 18 a a DET ertr-320 46 19 latent latent NOUN ertr-320 46 20 matrix matrix NOUN ertr-320 46 21 factorization factorization NOUN ertr-320 46 22 method method NOUN ertr-320 46 23 with with ADP ertr-320 46 24 enhanced enhanced ADJ ertr-320 46 25 spatial spatial ADJ ertr-320 46 26 - - PUNCT ertr-320 46 27 temporal temporal ADJ ertr-320 46 28 features feature NOUN ertr-320 46 29 to to PART ertr-320 46 30 infer infer VERB ertr-320 46 31 the the DET ertr-320 46 32 transition transition NOUN ertr-320 46 33 patterns pattern NOUN ertr-320 46 34 . . PUNCT ertr-320 47 1 transition transition NOUN ertr-320 47 2 rewards reward NOUN ertr-320 47 3 are be AUX ertr-320 47 4 represented represent VERB ertr-320 47 5 as as ADP ertr-320 47 6 : : PUNCT ertr-320 47 7 𝑅e<𝑝7=𝑝6 𝑅e<𝑝7=𝑝6 X ertr-320 47 8 > > X ertr-320 47 9 = = SYM ertr-320 47 10 𝑇i6,7 𝑇i6,7 ADJ ertr-320 47 11 , , PUNCT ertr-320 47 12 ( ( PUNCT ertr-320 47 13 3 3 X ertr-320 47 14 ) ) PUNCT ertr-320 47 15 where where SCONJ ertr-320 47 16 𝑇i6,7 𝑇i6,7 NOUN ertr-320 47 17 is be AUX ertr-320 47 18 the the DET ertr-320 47 19 inferred infer VERB ertr-320 47 20 transition transition NOUN ertr-320 47 21 reward reward NOUN ertr-320 47 22 matrix matrix NOUN ertr-320 47 23 as as SCONJ ertr-320 47 24 defined define VERB ertr-320 47 25 below below ADV ertr-320 47 26 . . PUNCT ertr-320 48 1 1 1 X ertr-320 48 2 ) ) PUNCT ertr-320 48 3 weighted weight VERB ertr-320 48 4 transition transition NOUN ertr-320 48 5 matrix matrix NOUN ertr-320 48 6 : : PUNCT ertr-320 48 7 there there PRON ertr-320 48 8 are be VERB ertr-320 48 9 users user NOUN ertr-320 48 10 ’ ' PUNCT ertr-320 48 11 transitions transition NOUN ertr-320 48 12 between between ADP ertr-320 48 13 locations location NOUN ertr-320 48 14 , , PUNCT ertr-320 48 15 i.e. i.e. X ertr-320 48 16 , , PUNCT ertr-320 48 17 moving move VERB ertr-320 48 18 from from ADP ertr-320 48 19 poi poi PROPN ertr-320 48 20 𝑝6 𝑝6 NOUN ertr-320 48 21 to to ADP ertr-320 48 22 𝑝7 𝑝7 PROPN ertr-320 48 23 according accord VERB ertr-320 48 24 to to ADP ertr-320 48 25 travel travel NOUN ertr-320 48 26 routes route NOUN ertr-320 48 27 data datum NOUN ertr-320 48 28 . . PUNCT ertr-320 49 1 in in ADP ertr-320 49 2 this this DET ertr-320 49 3 manner manner NOUN ertr-320 49 4 , , PUNCT ertr-320 49 5 we we PRON ertr-320 49 6 capture capture VERB ertr-320 49 7 a a DET ertr-320 49 8 weighted weighted ADJ ertr-320 49 9 transition transition NOUN ertr-320 49 10 matrix matrix NOUN ertr-320 49 11 represented represent VERB ertr-320 49 12 by by ADP ertr-320 49 13 𝑇j 𝑇j PROPN ertr-320 49 14 ∈ ∈ PROPN ertr-320 49 15 ℝ|l|Γ—|l| ℝ|l|Γ—|l| PROPN ertr-320 49 16 , , PUNCT ertr-320 49 17 where where SCONJ ertr-320 49 18 each each DET ertr-320 49 19 entry entry NOUN ertr-320 49 20 𝑇j6,7 𝑇j6,7 NOUN ertr-320 49 21 denotes denote VERB ertr-320 49 22 the the DET ertr-320 49 23 observed observe VERB ertr-320 49 24 transition transition NOUN ertr-320 49 25 frequency frequency NOUN ertr-320 49 26 between between ADP ertr-320 49 27 pois pois PROPN ertr-320 49 28 𝑝6 𝑝6 NOUN ertr-320 49 29 and and CCONJ ertr-320 49 30 𝑝7 𝑝7 PROPN ertr-320 49 31 , , PUNCT ertr-320 49 32 and and CCONJ ertr-320 49 33 |𝑉| |𝑉| NOUN ertr-320 49 34 is be AUX ertr-320 49 35 the the DET ertr-320 49 36 number number NOUN ertr-320 49 37 of of ADP ertr-320 49 38 pois pois NOUN ertr-320 49 39 in in ADP ertr-320 49 40 a a DET ertr-320 49 41 particular particular ADJ ertr-320 49 42 city city NOUN ertr-320 49 43 . . PUNCT ertr-320 50 1 then then ADV ertr-320 50 2 𝑇 𝑇 PROPN ertr-320 50 3 is be AUX ertr-320 50 4 equal equal ADJ ertr-320 50 5 to to ADP ertr-320 50 6 𝑇j 𝑇j PROPN ertr-320 50 7 normalized normalize VERB ertr-320 50 8 by by ADP ertr-320 50 9 the the DET ertr-320 50 10 maximum maximum ADJ ertr-320 50 11 entry entry NOUN ertr-320 50 12 ; ; PUNCT ertr-320 50 13 𝑇 𝑇 PROPN ertr-320 50 14 is be AUX ertr-320 50 15 regarded regard VERB ertr-320 50 16 as as ADP ertr-320 50 17 the the DET ertr-320 50 18 e e NOUN ertr-320 50 19 - - NOUN ertr-320 50 20 review review NOUN ertr-320 50 21 of of ADP ertr-320 50 22 tourism tourism NOUN ertr-320 50 23 research research NOUN ertr-320 50 24 ( ( PUNCT ertr-320 50 25 ertr ertr NOUN ertr-320 50 26 ) ) PUNCT ertr-320 50 27 , , PUNCT ertr-320 50 28 vol vol NOUN ertr-320 50 29 . . PROPN ertr-320 50 30 16 16 NUM ertr-320 50 31 , , PUNCT ertr-320 50 32 no no INTJ ertr-320 50 33 . . PUNCT ertr-320 51 1 2/3 2/3 NUM ertr-320 51 2 , , PUNCT ertr-320 51 3 2019 2019 NUM ertr-320 51 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 51 5 77 77 NUM ertr-320 51 6 relative relative ADJ ertr-320 51 7 transition transition NOUN ertr-320 51 8 weights weight NOUN ertr-320 51 9 between between ADP ertr-320 51 10 locations location NOUN ertr-320 51 11 ; ; PUNCT ertr-320 51 12 similar similar ADJ ertr-320 51 13 to to ADP ertr-320 51 14 the the DET ertr-320 51 15 idea idea NOUN ertr-320 51 16 of of ADP ertr-320 51 17 collaborative collaborative ADJ ertr-320 51 18 filtering filtering NOUN ertr-320 51 19 , , PUNCT ertr-320 51 20 in in ADP ertr-320 51 21 which which PRON ertr-320 51 22 pois pois NOUN ertr-320 51 23 may may AUX ertr-320 51 24 have have VERB ertr-320 51 25 common common ADJ ertr-320 51 26 connections connection NOUN ertr-320 51 27 to to ADP ertr-320 51 28 other other ADJ ertr-320 51 29 pois pois NOUN ertr-320 51 30 owing owe VERB ertr-320 51 31 to to ADP ertr-320 51 32 common common ADJ ertr-320 51 33 features feature NOUN ertr-320 51 34 that that PRON ertr-320 51 35 match match VERB ertr-320 51 36 very very ADV ertr-320 51 37 well well ADV ertr-320 51 38 . . PUNCT ertr-320 52 1 one one NUM ertr-320 52 2 reasonable reasonable ADJ ertr-320 52 3 solution solution NOUN ertr-320 52 4 is be AUX ertr-320 52 5 to to PART ertr-320 52 6 factorize factorize VERB ertr-320 52 7 the the DET ertr-320 52 8 observed observe VERB ertr-320 52 9 weighted weight VERB ertr-320 52 10 transition transition NOUN ertr-320 52 11 matrix matrix NOUN ertr-320 52 12 𝑇 𝑇 PROPN ertr-320 52 13 as as ADP ertr-320 52 14 below below ADV ertr-320 52 15 : : PUNCT ertr-320 52 16 𝑇 𝑇 PROPN ertr-320 52 17 β‰ˆ β‰ˆ PROPN ertr-320 52 18 𝑉#𝑀𝑉qe 𝑉#𝑀𝑉qe PROPN ertr-320 52 19 , , PUNCT ertr-320 52 20 ( ( PUNCT ertr-320 52 21 4 4 X ertr-320 52 22 ) ) PUNCT ertr-320 52 23 where where SCONJ ertr-320 52 24 𝑉 𝑉 PROPN ertr-320 52 25 # # NOUN ertr-320 52 26 ∈ ∈ NOUN ertr-320 52 27 ℝ|l|Γ—r ℝ|l|Γ—r PUNCT ertr-320 52 28 and and CCONJ ertr-320 52 29 𝑉q 𝑉q PROPN ertr-320 52 30 ∈ ∈ PROPN ertr-320 52 31 ℝ|l|Γ—r ℝ|l|Γ—r PUNCT ertr-320 52 32 represent represent VERB ertr-320 52 33 latent latent NOUN ertr-320 52 34 features feature NOUN ertr-320 52 35 of of ADP ertr-320 52 36 a a DET ertr-320 52 37 source source NOUN ertr-320 52 38 and and CCONJ ertr-320 52 39 a a DET ertr-320 52 40 destination destination NOUN ertr-320 52 41 point point NOUN ertr-320 52 42 , , PUNCT ertr-320 52 43 respectively respectively ADV ertr-320 52 44 . . PUNCT ertr-320 53 1 𝑀 𝑀 PROPN ertr-320 53 2 is be AUX ertr-320 53 3 the the DET ertr-320 53 4 interaction interaction NOUN ertr-320 53 5 matrix matrix NOUN ertr-320 53 6 that that PRON ertr-320 53 7 represents represent VERB ertr-320 53 8 the the DET ertr-320 53 9 relationship relationship NOUN ertr-320 53 10 between between ADP ertr-320 53 11 locations location NOUN ertr-320 53 12 , , PUNCT ertr-320 53 13 and and CCONJ ertr-320 53 14 π‘˜ π‘˜ PRON ertr-320 53 15 specifies specify VERB ertr-320 53 16 the the DET ertr-320 53 17 number number NOUN ertr-320 53 18 of of ADP ertr-320 53 19 latent latent NOUN ertr-320 53 20 features feature NOUN ertr-320 53 21 . . PUNCT ertr-320 54 1 2 2 X ertr-320 54 2 ) ) PUNCT ertr-320 54 3 spatial spatial ADJ ertr-320 54 4 - - PUNCT ertr-320 54 5 temporal temporal ADJ ertr-320 54 6 influences influence NOUN ertr-320 54 7 : : PUNCT ertr-320 54 8 spatial spatial ADJ ertr-320 54 9 and and CCONJ ertr-320 54 10 temporal temporal ADJ ertr-320 54 11 influences influence NOUN ertr-320 54 12 are be AUX ertr-320 54 13 very very ADV ertr-320 54 14 important important ADJ ertr-320 54 15 in in ADP ertr-320 54 16 location location NOUN ertr-320 54 17 recommendation recommendation NOUN ertr-320 54 18 tasks task NOUN ertr-320 54 19 . . PUNCT ertr-320 55 1 inspired inspire VERB ertr-320 55 2 by by ADP ertr-320 55 3 ( ( PUNCT ertr-320 55 4 lian lian PROPN ertr-320 55 5 et et PROPN ertr-320 55 6 al al PROPN ertr-320 55 7 . . PROPN ertr-320 55 8 , , PUNCT ertr-320 55 9 2014 2014 NUM ertr-320 55 10 ) ) PUNCT ertr-320 55 11 , , PUNCT ertr-320 55 12 we we PRON ertr-320 55 13 can can AUX ertr-320 55 14 explicitly explicitly ADV ertr-320 55 15 embed embed VERB ertr-320 55 16 spatialtemporal spatialtemporal ADJ ertr-320 55 17 influences influence NOUN ertr-320 55 18 to to PART ertr-320 55 19 improve improve VERB ertr-320 55 20 our our PRON ertr-320 55 21 weighted weight VERB ertr-320 55 22 transition transition NOUN ertr-320 55 23 matrix matrix NOUN ertr-320 55 24 factorization factorization NOUN ertr-320 55 25 model model NOUN ertr-320 55 26 . . PUNCT ertr-320 56 1 for for ADP ertr-320 56 2 spatial spatial ADJ ertr-320 56 3 influence influence NOUN ertr-320 56 4 , , PUNCT ertr-320 56 5 we we PRON ertr-320 56 6 consider consider VERB ertr-320 56 7 the the DET ertr-320 56 8 simple simple ADJ ertr-320 56 9 assumption assumption NOUN ertr-320 56 10 that that SCONJ ertr-320 56 11 the the DET ertr-320 56 12 closer close ADJ ertr-320 56 13 pois pois NOUN ertr-320 56 14 are be AUX ertr-320 56 15 the the DET ertr-320 56 16 more more ADV ertr-320 56 17 likely likely ADJ ertr-320 56 18 they they PRON ertr-320 56 19 are be AUX ertr-320 56 20 visited visit VERB ertr-320 56 21 . . PUNCT ertr-320 57 1 we we PRON ertr-320 57 2 calculate calculate VERB ertr-320 57 3 the the DET ertr-320 57 4 distances distance NOUN ertr-320 57 5 between between ADP ertr-320 57 6 pois pois NOUN ertr-320 57 7 using use VERB ertr-320 57 8 the the DET ertr-320 57 9 haversine haversine NOUN ertr-320 57 10 formula formula NOUN ertr-320 57 11 ( ( PUNCT ertr-320 57 12 sinnott sinnott NOUN ertr-320 57 13 1984 1984 NUM ertr-320 57 14 ) ) PUNCT ertr-320 57 15 , , PUNCT ertr-320 57 16 then then ADV ertr-320 57 17 take take VERB ertr-320 57 18 the the DET ertr-320 57 19 reciprocal reciprocal NOUN ertr-320 57 20 and and CCONJ ertr-320 57 21 normalize normalize VERB ertr-320 57 22 each each DET ertr-320 57 23 entry entry NOUN ertr-320 57 24 by by ADP ertr-320 57 25 the the DET ertr-320 57 26 maximum maximum ADJ ertr-320 57 27 value value NOUN ertr-320 57 28 in in ADP ertr-320 57 29 the the DET ertr-320 57 30 matrix matrix NOUN ertr-320 57 31 to to PART ertr-320 57 32 construct construct VERB ertr-320 57 33 the the DET ertr-320 57 34 poi poi PROPN ertr-320 57 35 spatial spatial PROPN ertr-320 57 36 influence influence NOUN ertr-320 57 37 matrix matrix NOUN ertr-320 57 38 𝐺 𝐺 PROPN ertr-320 57 39 ∈ ∈ PROPN ertr-320 57 40 ℝ|l|Γ—|l| ℝ|l|Γ—|l| PROPN ertr-320 57 41 . . PUNCT ertr-320 58 1 the the DET ertr-320 58 2 spatial spatial ADJ ertr-320 58 3 influence influence NOUN ertr-320 58 4 matrix matrix NOUN ertr-320 58 5 can can AUX ertr-320 58 6 be be AUX ertr-320 58 7 regarded regard VERB ertr-320 58 8 as as ADP ertr-320 58 9 additional additional ADJ ertr-320 58 10 global global ADJ ertr-320 58 11 knowledge knowledge NOUN ertr-320 58 12 that that PRON ertr-320 58 13 each each DET ertr-320 58 14 entry entry NOUN ertr-320 58 15 represents represent VERB ertr-320 58 16 the the DET ertr-320 58 17 confidence confidence NOUN ertr-320 58 18 of of ADP ertr-320 58 19 location location NOUN ertr-320 58 20 - - PUNCT ertr-320 58 21 location location NOUN ertr-320 58 22 spatial spatial ADJ ertr-320 58 23 influence influence NOUN ertr-320 58 24 , , PUNCT ertr-320 58 25 where where SCONJ ertr-320 58 26 the the DET ertr-320 58 27 distance distance NOUN ertr-320 58 28 is be AUX ertr-320 58 29 smaller small ADJ ertr-320 58 30 when when SCONJ ertr-320 58 31 the the DET ertr-320 58 32 influence influence NOUN ertr-320 58 33 is be AUX ertr-320 58 34 larger large ADJ ertr-320 58 35 . . PUNCT ertr-320 59 1 the the DET ertr-320 59 2 spatial spatial ADJ ertr-320 59 3 influence influence NOUN ertr-320 59 4 matrix matrix NOUN ertr-320 59 5 can can AUX ertr-320 59 6 be be AUX ertr-320 59 7 written write VERB ertr-320 59 8 as as ADP ertr-320 59 9 𝐺 𝐺 PROPN ertr-320 59 10 β‰ˆ β‰ˆ PROPN ertr-320 59 11 𝑉u𝑉ue 𝑉u𝑉ue PROPN ertr-320 59 12 , , PUNCT ertr-320 59 13 where where SCONJ ertr-320 59 14 𝑉u 𝑉u PROPN ertr-320 59 15 represents represent VERB ertr-320 59 16 the the DET ertr-320 59 17 spatial spatial ADJ ertr-320 59 18 feature feature NOUN ertr-320 59 19 between between ADP ertr-320 59 20 pois pois NOUN ertr-320 59 21 and and CCONJ ertr-320 59 22 it it PRON ertr-320 59 23 can can AUX ertr-320 59 24 get get AUX ertr-320 59 25 be be AUX ertr-320 59 26 obtained obtain VERB ertr-320 59 27 by by ADP ertr-320 59 28 factorizing factorize VERB ertr-320 59 29 𝐺 𝐺 PROPN ertr-320 59 30 through through ADP ertr-320 59 31 standard standard ADJ ertr-320 59 32 non non ADJ ertr-320 59 33 - - ADJ ertr-320 59 34 negative negative ADJ ertr-320 59 35 matrix matrix NOUN ertr-320 59 36 factorization factorization NOUN ertr-320 59 37 ( ( PUNCT ertr-320 59 38 nmf nmf NOUN ertr-320 59 39 ) ) PUNCT ertr-320 59 40 ( ( PUNCT ertr-320 59 41 lee lee PROPN ertr-320 59 42 et et PROPN ertr-320 59 43 al al PROPN ertr-320 59 44 . . PROPN ertr-320 59 45 , , PUNCT ertr-320 59 46 1999 1999 NUM ertr-320 59 47 ) ) PUNCT ertr-320 59 48 . . PUNCT ertr-320 60 1 for for ADP ertr-320 60 2 temporal temporal ADJ ertr-320 60 3 influence influence NOUN ertr-320 60 4 , , PUNCT ertr-320 60 5 we we PRON ertr-320 60 6 consider consider VERB ertr-320 60 7 the the DET ertr-320 60 8 relationship relationship NOUN ertr-320 60 9 between between ADP ertr-320 60 10 the the DET ertr-320 60 11 check check NOUN ertr-320 60 12 - - PUNCT ertr-320 60 13 in in ADP ertr-320 60 14 time time NOUN ertr-320 60 15 of of ADP ertr-320 60 16 each each DET ertr-320 60 17 poi poi PROPN ertr-320 60 18 and and CCONJ ertr-320 60 19 the the DET ertr-320 60 20 user user NOUN ertr-320 60 21 transition transition NOUN ertr-320 60 22 time time NOUN ertr-320 60 23 interval interval NOUN ertr-320 60 24 . . PUNCT ertr-320 61 1 each each DET ertr-320 61 2 poi poi PROPN ertr-320 61 3 has have VERB ertr-320 61 4 an an DET ertr-320 61 5 available available ADJ ertr-320 61 6 open open ADJ ertr-320 61 7 time time NOUN ertr-320 61 8 window window NOUN ertr-320 61 9 and and CCONJ ertr-320 61 10 visits visit NOUN ertr-320 61 11 vary vary VERB ertr-320 61 12 over over ADP ertr-320 61 13 24 24 NUM ertr-320 61 14 hours hour NOUN ertr-320 61 15 ( ( PUNCT ertr-320 61 16 e.g. e.g. ADV ertr-320 61 17 , , PUNCT ertr-320 61 18 figure figure NOUN ertr-320 61 19 1 1 NUM ertr-320 61 20 ) ) PUNCT ertr-320 61 21 . . PUNCT ertr-320 62 1 we we PRON ertr-320 62 2 assume assume VERB ertr-320 62 3 that that SCONJ ertr-320 62 4 the the DET ertr-320 62 5 visit visit NOUN ertr-320 62 6 time time NOUN ertr-320 62 7 of of ADP ertr-320 62 8 a a DET ertr-320 62 9 location location NOUN ertr-320 62 10 over over ADP ertr-320 62 11 a a DET ertr-320 62 12 day day NOUN ertr-320 62 13 follows follow VERB ertr-320 62 14 a a DET ertr-320 62 15 mixed mixed ADJ ertr-320 62 16 gaussian gaussian ADJ ertr-320 62 17 distribution distribution NOUN ertr-320 62 18 and and CCONJ ertr-320 62 19 has have AUX ertr-320 62 20 visit visit VERB ertr-320 62 21 peaks peak NOUN ertr-320 62 22 . . PUNCT ertr-320 63 1 also also ADV ertr-320 63 2 , , PUNCT ertr-320 63 3 we we PRON ertr-320 63 4 observe observe VERB ertr-320 63 5 that that SCONJ ertr-320 63 6 users user NOUN ertr-320 63 7 ’ ' PUNCT ertr-320 63 8 transitions transition NOUN ertr-320 63 9 between between ADP ertr-320 63 10 locations location NOUN ertr-320 63 11 in in ADP ertr-320 63 12 different different ADJ ertr-320 63 13 cities city NOUN ertr-320 63 14 are be AUX ertr-320 63 15 almost almost ADV ertr-320 63 16 all all ADV ertr-320 63 17 less less ADJ ertr-320 63 18 than than ADP ertr-320 63 19 2 2 NUM ertr-320 63 20 hours hour NOUN ertr-320 63 21 ( ( PUNCT ertr-320 63 22 e.g. e.g. ADV ertr-320 63 23 , , PUNCT ertr-320 63 24 figure figure NOUN ertr-320 63 25 2 2 NUM ertr-320 63 26 ) ) PUNCT ertr-320 63 27 , , PUNCT ertr-320 64 1 e e X ertr-320 64 2 - - NOUN ertr-320 64 3 review review NOUN ertr-320 64 4 of of ADP ertr-320 64 5 tourism tourism NOUN ertr-320 64 6 research research NOUN ertr-320 64 7 ( ( PUNCT ertr-320 64 8 ertr ertr NOUN ertr-320 64 9 ) ) PUNCT ertr-320 64 10 , , PUNCT ertr-320 64 11 vol vol NOUN ertr-320 64 12 . . PROPN ertr-320 64 13 16 16 NUM ertr-320 64 14 , , PUNCT ertr-320 64 15 no no INTJ ertr-320 64 16 . . PUNCT ertr-320 64 17 2/3 2/3 NUM ertr-320 64 18 , , PUNCT ertr-320 64 19 2019 2019 NUM ertr-320 64 20 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 64 21 78 78 NUM ertr-320 64 22 and and CCONJ ertr-320 64 23 we we PRON ertr-320 64 24 use use VERB ertr-320 64 25 a a DET ertr-320 64 26 poisson poisson NOUN ertr-320 64 27 distribution distribution NOUN ertr-320 64 28 to to PART ertr-320 64 29 fit fit VERB ertr-320 64 30 it it PRON ertr-320 64 31 . . PUNCT ertr-320 65 1 for for ADP ertr-320 65 2 example example NOUN ertr-320 65 3 , , PUNCT ertr-320 65 4 two two NUM ertr-320 65 5 locations location NOUN ertr-320 65 6 ’ ' PUNCT ertr-320 65 7 spatial spatial ADJ ertr-320 65 8 influences influence NOUN ertr-320 65 9 are be AUX ertr-320 65 10 higher high ADJ ertr-320 65 11 due due ADP ertr-320 65 12 to to ADP ertr-320 65 13 a a DET ertr-320 65 14 smaller small ADJ ertr-320 65 15 distance distance NOUN ertr-320 65 16 ( ( PUNCT ertr-320 65 17 i.e. i.e. X ertr-320 65 18 , , PUNCT ertr-320 65 19 a a DET ertr-320 65 20 transition transition NOUN ertr-320 65 21 from from ADP ertr-320 65 22 one one NUM ertr-320 65 23 to to ADP ertr-320 65 24 the the DET ertr-320 65 25 other other ADJ ertr-320 65 26 is be AUX ertr-320 65 27 more more ADV ertr-320 65 28 likely likely ADJ ertr-320 65 29 ) ) PUNCT ertr-320 65 30 , , PUNCT ertr-320 65 31 while while SCONJ ertr-320 65 32 their their PRON ertr-320 65 33 visit visit NOUN ertr-320 65 34 peaks peak NOUN ertr-320 65 35 have have VERB ertr-320 65 36 a a DET ertr-320 65 37 big big ADJ ertr-320 65 38 gap gap NOUN ertr-320 65 39 ( ( PUNCT ertr-320 65 40 e.g. e.g. ADV ertr-320 65 41 , , PUNCT ertr-320 65 42 one one PRON ertr-320 65 43 has have VERB ertr-320 65 44 a a DET ertr-320 65 45 peak peak NOUN ertr-320 65 46 in in ADP ertr-320 65 47 the the DET ertr-320 65 48 morning morning NOUN ertr-320 65 49 and and CCONJ ertr-320 65 50 the the DET ertr-320 65 51 other other ADJ ertr-320 65 52 in in ADP ertr-320 65 53 the the DET ertr-320 65 54 night night NOUN ertr-320 65 55 ) ) PUNCT ertr-320 65 56 that that PRON ertr-320 65 57 indicates indicate VERB ertr-320 65 58 that that SCONJ ertr-320 65 59 the the DET ertr-320 65 60 transition transition NOUN ertr-320 65 61 possibility possibility NOUN ertr-320 65 62 would would AUX ertr-320 65 63 not not PART ertr-320 65 64 be be AUX ertr-320 65 65 very very ADV ertr-320 65 66 high high ADJ ertr-320 65 67 . . PUNCT ertr-320 66 1 therefore therefore ADV ertr-320 66 2 , , PUNCT ertr-320 66 3 if if SCONJ ertr-320 66 4 two two NUM ertr-320 66 5 locations location NOUN ertr-320 66 6 ’ ' PUNCT ertr-320 66 7 visit visit NOUN ertr-320 66 8 peaks peak NOUN ertr-320 66 9 better well ADV ertr-320 66 10 match match VERB ertr-320 66 11 the the DET ertr-320 66 12 users user NOUN ertr-320 66 13 ’ ’ PART ertr-320 66 14 transition transition NOUN ertr-320 66 15 interval interval NOUN ertr-320 66 16 , , PUNCT ertr-320 66 17 the the DET ertr-320 66 18 temporal temporal ADJ ertr-320 66 19 influence influence NOUN ertr-320 66 20 is be AUX ertr-320 66 21 higher high ADJ ertr-320 66 22 . . PUNCT ertr-320 67 1 figure figure VERB ertr-320 67 2 1 1 NUM ertr-320 67 3 : : PUNCT ertr-320 67 4 visit visit VERB ertr-320 67 5 time time NOUN ertr-320 67 6 distributions distribution NOUN ertr-320 67 7 ; ; PUNCT ertr-320 67 8 examples example NOUN ertr-320 67 9 of of ADP ertr-320 67 10 two two NUM ertr-320 67 11 pois pois NOUN ertr-320 67 12 over over ADP ertr-320 67 13 24 24 NUM ertr-320 67 14 hours hour NOUN ertr-320 67 15 figure figure NOUN ertr-320 67 16 2 2 NUM ertr-320 67 17 : : PUNCT ertr-320 67 18 visit visit VERB ertr-320 67 19 time time NOUN ertr-320 67 20 interval interval NOUN ertr-320 67 21 distributions distribution NOUN ertr-320 67 22 in in ADP ertr-320 67 23 the the DET ertr-320 67 24 toronto toronto PROPN ertr-320 67 25 dataset dataset VERB ertr-320 67 26 a a DET ertr-320 67 27 gaussian gaussian ADJ ertr-320 67 28 mixture mixture NOUN ertr-320 67 29 model model NOUN ertr-320 67 30 ( ( PUNCT ertr-320 67 31 gmm gmm NOUN ertr-320 67 32 ) ) PUNCT ertr-320 67 33 is be AUX ertr-320 67 34 applied apply VERB ertr-320 67 35 to to PART ertr-320 67 36 fit fit VERB ertr-320 67 37 the the DET ertr-320 67 38 check check NOUN ertr-320 67 39 - - PUNCT ertr-320 67 40 in in ADP ertr-320 67 41 data datum NOUN ertr-320 67 42 . . PUNCT ertr-320 68 1 it it PRON ertr-320 68 2 automatically automatically ADV ertr-320 68 3 fits fit VERB ertr-320 68 4 the the DET ertr-320 68 5 data datum NOUN ertr-320 68 6 and and CCONJ ertr-320 68 7 the the DET ertr-320 68 8 gmm gmm PROPN ertr-320 68 9 component component NOUN ertr-320 68 10 ranges range VERB ertr-320 68 11 from from ADP ertr-320 68 12 1 1 NUM ertr-320 68 13 to to ADP ertr-320 68 14 3 3 NUM ertr-320 68 15 , , PUNCT ertr-320 68 16 which which PRON ertr-320 68 17 corresponds correspond VERB ertr-320 68 18 to to ADP ertr-320 68 19 morning morning NOUN ertr-320 68 20 , , PUNCT ertr-320 68 21 afternoon afternoon NOUN ertr-320 68 22 , , PUNCT ertr-320 68 23 and and CCONJ ertr-320 68 24 night night NOUN ertr-320 68 25 . . PUNCT ertr-320 69 1 then then ADV ertr-320 69 2 the the DET ertr-320 69 3 temporal temporal ADJ ertr-320 69 4 influence influence NOUN ertr-320 69 5 matrix matrix NOUN ertr-320 69 6 𝐢j 𝐢j ADP ertr-320 69 7 ∈ ∈ PROPN ertr-320 69 8 ℝ|l|Γ—|l| ℝ|l|Γ—|l| PROPN ertr-320 69 9 is be AUX ertr-320 69 10 constructed construct VERB ertr-320 69 11 by by ADP ertr-320 69 12 matching match VERB ertr-320 69 13 the the DET ertr-320 69 14 mean mean ADJ ertr-320 69 15 differences difference NOUN ertr-320 69 16 between between ADP ertr-320 69 17 locations location NOUN ertr-320 69 18 with with ADP ertr-320 69 19 the the DET ertr-320 69 20 fitted fit VERB ertr-320 69 21 transition transition NOUN ertr-320 69 22 time time NOUN ertr-320 69 23 interval interval NOUN ertr-320 69 24 distribution distribution NOUN ertr-320 69 25 . . PUNCT ertr-320 70 1 𝐢 𝐢 PROPN ertr-320 70 2 is be AUX ertr-320 70 3 equal equal ADJ ertr-320 70 4 to to ADP ertr-320 70 5 the the DET ertr-320 70 6 normalized normalize VERB ertr-320 70 7 𝐢j 𝐢j PROPN ertr-320 70 8 that that PRON ertr-320 70 9 represents represent VERB ertr-320 70 10 the the DET ertr-320 70 11 temporal temporal ADJ ertr-320 70 12 influence influence NOUN ertr-320 70 13 between between ADP ertr-320 70 14 pois pois PROPN ertr-320 70 15 . . PUNCT ertr-320 71 1 we we PRON ertr-320 71 2 represent represent VERB ertr-320 71 3 our our PRON ertr-320 71 4 constructed construct VERB ertr-320 71 5 temporal temporal ADJ ertr-320 71 6 influence influence NOUN ertr-320 71 7 matrix matrix NOUN ertr-320 71 8 𝐢 𝐢 PROPN ertr-320 71 9 as as ADP ertr-320 71 10 𝐢 𝐢 PROPN ertr-320 71 11 β‰ˆ β‰ˆ PROPN ertr-320 71 12 𝑉w𝑉we 𝑉w𝑉we PROPN ertr-320 71 13 , , PUNCT ertr-320 71 14 where where SCONJ ertr-320 71 15 𝑉w 𝑉w PROPN ertr-320 71 16 represents represent VERB ertr-320 71 17 the the DET ertr-320 71 18 latent latent ADJ ertr-320 71 19 temporal temporal ADJ ertr-320 71 20 features feature NOUN ertr-320 71 21 between between ADP ertr-320 71 22 pois pois NOUN ertr-320 71 23 and and CCONJ ertr-320 71 24 it it PRON ertr-320 71 25 can can AUX ertr-320 71 26 be be AUX ertr-320 71 27 obtained obtain VERB ertr-320 71 28 through through ADP ertr-320 71 29 standard standard PROPN ertr-320 71 30 nmf nmf PROPN ertr-320 71 31 . . PUNCT ertr-320 72 1 we we PRON ertr-320 72 2 explicitly explicitly ADV ertr-320 72 3 combine combine VERB ertr-320 72 4 the the DET ertr-320 72 5 spatial spatial ADJ ertr-320 72 6 and and CCONJ ertr-320 72 7 temporal temporal ADJ ertr-320 72 8 influences influence NOUN ertr-320 72 9 linearly linearly ADV ertr-320 72 10 to to PART ertr-320 72 11 enrich enrich VERB ertr-320 72 12 eq eq ADP ertr-320 72 13 . . PROPN ertr-320 72 14 4 4 NUM ertr-320 72 15 as as ADP ertr-320 72 16 : : PUNCT ertr-320 72 17 𝑇 𝑇 PROPN ertr-320 72 18 β‰ˆ β‰ˆ PROPN ertr-320 72 19 𝑉#𝑀𝑉qe 𝑉#𝑀𝑉qe PROPN ertr-320 73 1 + + CCONJ ertr-320 73 2 𝑉u𝑀𝑉ue 𝑉u𝑀𝑉ue PROPN ertr-320 73 3 + + SYM ertr-320 73 4 𝑉w𝑀𝑉we 𝑉w𝑀𝑉we PROPN ertr-320 73 5 ( ( PUNCT ertr-320 73 6 5 5 NUM ertr-320 73 7 ) ) PUNCT ertr-320 73 8 the the DET ertr-320 73 9 latent latent NOUN ertr-320 73 10 factors factor VERB ertr-320 73 11 𝑉 𝑉 PROPN ertr-320 73 12 # # NOUN ertr-320 73 13 , , PUNCT ertr-320 73 14 𝑉q 𝑉q PROPN ertr-320 73 15 and and CCONJ ertr-320 73 16 𝑀 𝑀 PROPN ertr-320 73 17 can can AUX ertr-320 73 18 be be AUX ertr-320 73 19 computed compute VERB ertr-320 73 20 by by ADP ertr-320 73 21 solving solve VERB ertr-320 73 22 the the DET ertr-320 73 23 following follow VERB ertr-320 73 24 function function NOUN ertr-320 73 25 : : PUNCT ertr-320 73 26 min min NOUN ertr-320 73 27 lz lz PROPN ertr-320 73 28 , , PUNCT ertr-320 73 29 l[,\ l[,\ PROPN ertr-320 73 30 ] ] PUNCT ertr-320 73 31 𝐼 𝐼 ADP ertr-320 73 32 βŠ™ βŠ™ NOUN ertr-320 73 33 ( ( PUNCT ertr-320 73 34 𝑇 𝑇 PROPN ertr-320 73 35 βˆ’ βˆ’ PROPN ertr-320 73 36 𝑉#𝑀𝑉qe 𝑉#𝑀𝑉qe NOUN ertr-320 73 37 βˆ’ βˆ’ NOUN ertr-320 73 38 𝑉u𝑀𝑉ue 𝑉u𝑀𝑉ue PROPN ertr-320 73 39 βˆ’ βˆ’ PROPN ertr-320 73 40 𝑉w𝑀𝑉we 𝑉w𝑀𝑉we NOUN ertr-320 73 41 ) ) PUNCT ertr-320 73 42 ] ] PUNCT ertr-320 74 1 + + CCONJ ertr-320 74 2 πœ† πœ† X ertr-320 74 3 [ [ PUNCT ertr-320 74 4 ‖𝑉#β€–+ ‖𝑉#β€–+ NUM ertr-320 74 5 ‖𝑀‖+ ‖𝑀‖+ NOUN ertr-320 74 6 ‖𝑉qβ€– ‖𝑉qβ€– NUM ertr-320 74 7 ] ] X ertr-320 74 8 , , PUNCT ertr-320 74 9 ( ( PUNCT ertr-320 74 10 6 6 NUM ertr-320 74 11 ) ) PUNCT ertr-320 74 12 e e NOUN ertr-320 74 13 - - NOUN ertr-320 74 14 review review NOUN ertr-320 74 15 of of ADP ertr-320 74 16 tourism tourism NOUN ertr-320 74 17 research research NOUN ertr-320 74 18 ( ( PUNCT ertr-320 74 19 ertr ertr NOUN ertr-320 74 20 ) ) PUNCT ertr-320 74 21 , , PUNCT ertr-320 74 22 vol vol NOUN ertr-320 74 23 . . PROPN ertr-320 75 1 16 16 NUM ertr-320 75 2 , , PUNCT ertr-320 75 3 no no INTJ ertr-320 75 4 . . PUNCT ertr-320 76 1 2/3 2/3 NUM ertr-320 76 2 , , PUNCT ertr-320 76 3 2019 2019 NUM ertr-320 76 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 76 5 79 79 NUM ertr-320 76 6 where where SCONJ ertr-320 76 7 βˆ₯βˆ™βˆ₯ βˆ₯βˆ™βˆ₯ PROPN ertr-320 76 8 denotes denote VERB ertr-320 76 9 the the DET ertr-320 76 10 frobenius frobenius PROPN ertr-320 76 11 norm norm NOUN ertr-320 76 12 ; ; PUNCT ertr-320 76 13 𝐼 𝐼 PROPN ertr-320 76 14 is be AUX ertr-320 76 15 a a DET ertr-320 76 16 binary binary ADJ ertr-320 76 17 weighted weight VERB ertr-320 76 18 matrix matrix NOUN ertr-320 76 19 with with ADP ertr-320 76 20 entries entry NOUN ertr-320 76 21 𝐼#,q 𝐼#,q NOUN ertr-320 76 22 indicating indicate VERB ertr-320 76 23 whether whether SCONJ ertr-320 76 24 transitions transition NOUN ertr-320 76 25 have have AUX ertr-320 76 26 been be AUX ertr-320 76 27 observed observe VERB ertr-320 76 28 ; ; PUNCT ertr-320 76 29 and and CCONJ ertr-320 76 30 πœ† πœ† PRON ertr-320 76 31 is be AUX ertr-320 76 32 the the DET ertr-320 76 33 regularization regularization NOUN ertr-320 76 34 parameter parameter NOUN ertr-320 76 35 . . PUNCT ertr-320 77 1 finally finally ADV ertr-320 77 2 , , PUNCT ertr-320 77 3 we we PRON ertr-320 77 4 can can AUX ertr-320 77 5 infer infer VERB ertr-320 77 6 the the DET ertr-320 77 7 transition transition NOUN ertr-320 77 8 matrix matrix NOUN ertr-320 77 9 using use VERB ertr-320 77 10 eq eq ADP ertr-320 77 11 . . PROPN ertr-320 77 12 5 5 NUM ertr-320 77 13 and and CCONJ ertr-320 77 14 normalize normalize VERB ertr-320 77 15 it it PRON ertr-320 77 16 by by ADP ertr-320 77 17 the the DET ertr-320 77 18 maximum maximum ADJ ertr-320 77 19 entry entry NOUN ertr-320 77 20 to to PART ertr-320 77 21 obtain obtain VERB ertr-320 77 22 the the DET ertr-320 77 23 transition transition NOUN ertr-320 77 24 reward reward NOUN ertr-320 77 25 matrix matrix NOUN ertr-320 78 1 𝑇i 𝑇i PROPN ertr-320 78 2 . . PUNCT ertr-320 79 1 we we PRON ertr-320 79 2 use use VERB ertr-320 79 3 the the DET ertr-320 79 4 theano theano NOUN ertr-320 79 5 framework framework NOUN ertr-320 79 6 ( ( PUNCT ertr-320 79 7 https://github.com/theano/theano https://github.com/theano/theano NOUN ertr-320 79 8 ) ) PUNCT ertr-320 79 9 to to PART ertr-320 79 10 learn learn VERB ertr-320 79 11 latent latent NOUN ertr-320 79 12 variables variable NOUN ertr-320 79 13 and and CCONJ ertr-320 79 14 solve solve VERB ertr-320 79 15 the the DET ertr-320 79 16 objective objective ADJ ertr-320 79 17 function function NOUN ertr-320 79 18 in in ADP ertr-320 79 19 eq eq NOUN ertr-320 79 20 . . PROPN ertr-320 79 21 1 1 NUM ertr-320 79 22 with with ADP ertr-320 79 23 the the DET ertr-320 79 24 gurobi gurobi PROPN ertr-320 79 25 optimization optimization NOUN ertr-320 79 26 package package NOUN ertr-320 79 27 ( ( PUNCT ertr-320 79 28 http://www.gurobi.com http://www.gurobi.com NOUN ertr-320 79 29 ) ) PUNCT ertr-320 79 30 . . PUNCT ertr-320 80 1 experiment experiment NOUN ertr-320 80 2 to to PART ertr-320 80 3 evaluate evaluate VERB ertr-320 80 4 our our PRON ertr-320 80 5 proposed propose VERB ertr-320 80 6 approaches approach NOUN ertr-320 80 7 , , PUNCT ertr-320 80 8 we we PRON ertr-320 80 9 apply apply VERB ertr-320 80 10 our our PRON ertr-320 80 11 methods method NOUN ertr-320 80 12 to to ADP ertr-320 80 13 public public ADJ ertr-320 80 14 location location NOUN ertr-320 80 15 - - PUNCT ertr-320 80 16 based base VERB ertr-320 80 17 social social ADJ ertr-320 80 18 network network NOUN ertr-320 80 19 datasets dataset NOUN ertr-320 80 20 provided provide VERB ertr-320 80 21 by by ADP ertr-320 80 22 ( ( PUNCT ertr-320 80 23 chen chen PROPN ertr-320 80 24 et et PROPN ertr-320 80 25 al al PROPN ertr-320 80 26 . . PROPN ertr-320 80 27 , , PUNCT ertr-320 80 28 2016 2016 NUM ertr-320 80 29 ; ; PUNCT ertr-320 80 30 lim lim PROPN ertr-320 80 31 et et PROPN ertr-320 80 32 al al PROPN ertr-320 80 33 . . PROPN ertr-320 80 34 , , PUNCT ertr-320 80 35 2015 2015 NUM ertr-320 80 36 ) ) PUNCT ertr-320 80 37 . . PUNCT ertr-320 81 1 these these DET ertr-320 81 2 datasets dataset NOUN ertr-320 81 3 capture capture VERB ertr-320 81 4 user user NOUN ertr-320 81 5 travel travel NOUN ertr-320 81 6 routes route NOUN ertr-320 81 7 extracted extract VERB ertr-320 81 8 from from ADP ertr-320 81 9 flickr flickr PROPN ertr-320 81 10 photos photo NOUN ertr-320 81 11 ; ; PUNCT ertr-320 81 12 the the DET ertr-320 81 13 statistics statistic NOUN ertr-320 81 14 are be AUX ertr-320 81 15 listed list VERB ertr-320 81 16 in in ADP ertr-320 81 17 table table NOUN ertr-320 81 18 1 1 NUM ertr-320 81 19 . . PUNCT ertr-320 82 1 in in ADP ertr-320 82 2 our our PRON ertr-320 82 3 experimental experimental ADJ ertr-320 82 4 settings setting NOUN ertr-320 82 5 , , PUNCT ertr-320 82 6 we we PRON ertr-320 82 7 randomly randomly ADV ertr-320 82 8 split split VERB ertr-320 82 9 each each DET ertr-320 82 10 city city NOUN ertr-320 82 11 dataset dataset VERB ertr-320 82 12 into into ADP ertr-320 82 13 five five NUM ertr-320 82 14 . . PUNCT ertr-320 83 1 we we PRON ertr-320 83 2 use use VERB ertr-320 83 3 fivefold fivefold ADJ ertr-320 83 4 cross cross NOUN ertr-320 83 5 - - NOUN ertr-320 83 6 validation validation ADJ ertr-320 83 7 to to PART ertr-320 83 8 evaluate evaluate VERB ertr-320 83 9 different different ADJ ertr-320 83 10 approaches approach NOUN ertr-320 83 11 , , PUNCT ertr-320 83 12 which which PRON ertr-320 83 13 means mean VERB ertr-320 83 14 that that SCONJ ertr-320 83 15 when when SCONJ ertr-320 83 16 testing test VERB ertr-320 83 17 on on ADP ertr-320 83 18 a a DET ertr-320 83 19 part part NOUN ertr-320 83 20 of of ADP ertr-320 83 21 the the DET ertr-320 83 22 dataset dataset NOUN ertr-320 83 23 , , PUNCT ertr-320 83 24 we we PRON ertr-320 83 25 use use VERB ertr-320 83 26 the the DET ertr-320 83 27 other other ADJ ertr-320 83 28 data datum NOUN ertr-320 83 29 to to PART ertr-320 83 30 train train VERB ertr-320 83 31 different different ADJ ertr-320 83 32 models model NOUN ertr-320 83 33 . . PUNCT ertr-320 84 1 specifically specifically ADV ertr-320 84 2 , , PUNCT ertr-320 84 3 we we PRON ertr-320 84 4 consider consider VERB ertr-320 84 5 users user NOUN ertr-320 84 6 ’ ' PUNCT ertr-320 84 7 real real ADJ ertr-320 84 8 - - PUNCT ertr-320 84 9 life life NOUN ertr-320 84 10 travel travel NOUN ertr-320 84 11 routes route NOUN ertr-320 84 12 with with ADP ertr-320 84 13 more more ADJ ertr-320 84 14 than than ADP ertr-320 84 15 3 3 NUM ertr-320 84 16 check check NOUN ertr-320 84 17 - - PUNCT ertr-320 84 18 ins in NOUN ertr-320 84 19 and and CCONJ ertr-320 84 20 test test VERB ertr-320 84 21 the the DET ertr-320 84 22 following follow VERB ertr-320 84 23 methods method NOUN ertr-320 84 24 on on ADP ertr-320 84 25 each each DET ertr-320 84 26 city city NOUN ertr-320 84 27 dataset dataset NOUN ertr-320 84 28 : : PUNCT ertr-320 84 29 poipop poipop NOUN ertr-320 84 30 : : PUNCT ertr-320 84 31 recommends recommend VERB ertr-320 84 32 a a DET ertr-320 84 33 travel travel NOUN ertr-320 84 34 route route NOUN ertr-320 84 35 only only ADV ertr-320 84 36 based base VERB ertr-320 84 37 on on ADP ertr-320 84 38 the the DET ertr-320 84 39 ordered order VERB ertr-320 84 40 poi poi PROPN ertr-320 84 41 popularity popularity NOUN ertr-320 84 42 . . PUNCT ertr-320 85 1 poirank poirank ADJ ertr-320 85 2 , , PUNCT ertr-320 85 3 markov markov PROPN ertr-320 85 4 , , PUNCT ertr-320 85 5 rank+markov rank+markov PROPN ertr-320 85 6 : : PUNCT ertr-320 85 7 proposed propose VERB ertr-320 85 8 in in ADP ertr-320 85 9 ( ( PUNCT ertr-320 85 10 chen chen PROPN ertr-320 85 11 et et PROPN ertr-320 85 12 al al PROPN ertr-320 85 13 . . PROPN ertr-320 85 14 , , PUNCT ertr-320 85 15 2016 2016 NUM ertr-320 85 16 ) ) PUNCT ertr-320 85 17 , , PUNCT ertr-320 85 18 these these DET ertr-320 85 19 methods method NOUN ertr-320 85 20 recommend recommend VERB ertr-320 85 21 routes route NOUN ertr-320 85 22 based base VERB ertr-320 85 23 on on ADP ertr-320 85 24 i i PROPN ertr-320 85 25 ) ) PUNCT ertr-320 85 26 the the DET ertr-320 85 27 ranking ranking NOUN ertr-320 85 28 of of ADP ertr-320 85 29 poi poi PROPN ertr-320 85 30 scores score NOUN ertr-320 85 31 , , PUNCT ertr-320 85 32 ii ii NOUN ertr-320 85 33 ) ) PUNCT ertr-320 85 34 transition transition NOUN ertr-320 85 35 probabilities probability NOUN ertr-320 85 36 through through ADP ertr-320 85 37 explicit explicit ADJ ertr-320 85 38 feature feature NOUN ertr-320 85 39 pairs pair NOUN ertr-320 85 40 , , PUNCT ertr-320 85 41 and and CCONJ ertr-320 85 42 iii iii X ertr-320 85 43 ) ) PUNCT ertr-320 85 44 their their PRON ertr-320 85 45 combination combination NOUN ertr-320 85 46 . . PUNCT ertr-320 86 1 table table NOUN ertr-320 86 2 1 1 NUM ertr-320 86 3 : : PUNCT ertr-320 86 4 statistics statistic NOUN ertr-320 86 5 of of ADP ertr-320 86 6 travel travel NOUN ertr-320 86 7 route route NOUN ertr-320 86 8 datasets dataset NOUN ertr-320 86 9 dataset dataset VERB ertr-320 86 10 # # ADP ertr-320 86 11 photos photo NOUN ertr-320 86 12 # # SYM ertr-320 86 13 check check NOUN ertr-320 86 14 - - PUNCT ertr-320 86 15 ins in NOUN ertr-320 86 16 # # NOUN ertr-320 86 17 travel travel NOUN ertr-320 86 18 routes route NOUN ertr-320 86 19 # # SYM ertr-320 86 20 users user NOUN ertr-320 86 21 edinburgh edinburgh PROPN ertr-320 86 22 82,060 82,060 NUM ertr-320 86 23 33,944 33,944 NUM ertr-320 86 24 5,028 5,028 NUM ertr-320 86 25 1,454 1,454 NUM ertr-320 86 26 glasgow glasgow NOUN ertr-320 86 27 29,019 29,019 NUM ertr-320 86 28 11,434 11,434 NUM ertr-320 86 29 2,227 2,227 NUM ertr-320 86 30 601 601 NUM ertr-320 86 31 osaka osaka NOUN ertr-320 86 32 392,420 392,420 NUM ertr-320 86 33 7,747 7,747 NUM ertr-320 86 34 1,115 1,115 NUM ertr-320 86 35 450 450 NUM ertr-320 86 36 toronto toronto PROPN ertr-320 86 37 157,505 157,505 NUM ertr-320 86 38 39,419 39,419 NUM ertr-320 86 39 6,057 6,057 NUM ertr-320 86 40 1,395 1,395 NUM ertr-320 86 41 e e NOUN ertr-320 86 42 - - NOUN ertr-320 86 43 review review NOUN ertr-320 86 44 of of ADP ertr-320 86 45 tourism tourism NOUN ertr-320 86 46 research research NOUN ertr-320 86 47 ( ( PUNCT ertr-320 86 48 ertr ertr NOUN ertr-320 86 49 ) ) PUNCT ertr-320 86 50 , , PUNCT ertr-320 86 51 vol vol NOUN ertr-320 86 52 . . PROPN ertr-320 87 1 16 16 NUM ertr-320 87 2 , , PUNCT ertr-320 87 3 no no INTJ ertr-320 87 4 . . PUNCT ertr-320 88 1 2/3 2/3 NUM ertr-320 88 2 , , PUNCT ertr-320 88 3 2019 2019 NUM ertr-320 88 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 88 5 80 80 NUM ertr-320 88 6 tmf tmf NOUN ertr-320 88 7 , , PUNCT ertr-320 88 8 gtmf gtmf ADJ ertr-320 88 9 , , PUNCT ertr-320 88 10 tgtmf tgtmf NOUN ertr-320 88 11 : : PUNCT ertr-320 88 12 our our PRON ertr-320 88 13 proposed propose VERB ertr-320 88 14 methods method NOUN ertr-320 88 15 that that PRON ertr-320 88 16 recommend recommend VERB ertr-320 88 17 routes route NOUN ertr-320 88 18 based base VERB ertr-320 88 19 on on ADP ertr-320 88 20 i i PROPN ertr-320 88 21 ) ) PUNCT ertr-320 88 22 weighted weight VERB ertr-320 88 23 transition transition NOUN ertr-320 88 24 matrix matrix NOUN ertr-320 88 25 factorization factorization NOUN ertr-320 88 26 , , PUNCT ertr-320 88 27 ii ii NOUN ertr-320 88 28 ) ) PUNCT ertr-320 88 29 spatial spatial ADJ ertr-320 88 30 influence influence NOUN ertr-320 88 31 , , PUNCT ertr-320 88 32 and and CCONJ ertr-320 88 33 iii iii X ertr-320 88 34 ) ) PUNCT ertr-320 88 35 spatial spatial ADJ ertr-320 88 36 - - PUNCT ertr-320 88 37 temporal temporal ADJ ertr-320 88 38 influence influence NOUN ertr-320 88 39 . . PUNCT ertr-320 89 1 rank rank PROPN ertr-320 89 2 + + SYM ertr-320 89 3 tmf tmf PROPN ertr-320 89 4 , , PUNCT ertr-320 89 5 rank rank NOUN ertr-320 89 6 + + CCONJ ertr-320 89 7 gtmf gtmf ADJ ertr-320 89 8 , , PUNCT ertr-320 89 9 rank rank NOUN ertr-320 89 10 + + CCONJ ertr-320 89 11 tgtmf tgtmf ADJ ertr-320 89 12 : : PUNCT ertr-320 89 13 our our PRON ertr-320 89 14 proposed propose VERB ertr-320 89 15 methods method NOUN ertr-320 89 16 that that PRON ertr-320 89 17 combine combine VERB ertr-320 89 18 location location NOUN ertr-320 89 19 and and CCONJ ertr-320 89 20 transition transition NOUN ertr-320 89 21 rewards reward NOUN ertr-320 89 22 . . PUNCT ertr-320 90 1 to to PART ertr-320 90 2 compare compare VERB ertr-320 90 3 all all DET ertr-320 90 4 the the DET ertr-320 90 5 mentioned mention VERB ertr-320 90 6 approaches approach NOUN ertr-320 90 7 , , PUNCT ertr-320 90 8 we we PRON ertr-320 90 9 evaluate evaluate VERB ertr-320 90 10 the the DET ertr-320 90 11 performance performance NOUN ertr-320 90 12 of of ADP ertr-320 90 13 each each DET ertr-320 90 14 method method NOUN ertr-320 90 15 based base VERB ertr-320 90 16 on on ADP ertr-320 90 17 users user NOUN ertr-320 90 18 ’ ' PUNCT ertr-320 90 19 real real ADJ ertr-320 90 20 - - PUNCT ertr-320 90 21 life life NOUN ertr-320 90 22 travel travel NOUN ertr-320 90 23 routes route NOUN ertr-320 90 24 using use VERB ertr-320 90 25 the the DET ertr-320 90 26 following follow VERB ertr-320 90 27 metrics metric NOUN ertr-320 90 28 : : PUNCT ertr-320 90 29 f1 f1 NOUN ertr-320 90 30 score score NOUN ertr-320 90 31 : : PUNCT ertr-320 90 32 the the DET ertr-320 90 33 f1 f1 PROPN ertr-320 90 34 score score NOUN ertr-320 90 35 is be AUX ertr-320 90 36 a a DET ertr-320 90 37 common common ADJ ertr-320 90 38 metric metric NOUN ertr-320 90 39 for for ADP ertr-320 90 40 evaluating evaluate VERB ertr-320 90 41 poi poi PROPN ertr-320 90 42 and and CCONJ ertr-320 90 43 travel travel NOUN ertr-320 90 44 route route NOUN ertr-320 90 45 recommendations recommendation NOUN ertr-320 90 46 . . PUNCT ertr-320 91 1 it it PRON ertr-320 91 2 evaluates evaluate VERB ertr-320 91 3 the the DET ertr-320 91 4 recommended recommend VERB ertr-320 91 5 results result NOUN ertr-320 91 6 with with ADP ertr-320 91 7 the the DET ertr-320 91 8 user user NOUN ertr-320 91 9 ’s ’s PART ertr-320 91 10 real real ADJ ertr-320 91 11 travel travel NOUN ertr-320 91 12 route route NOUN ertr-320 91 13 using use VERB ertr-320 91 14 the the DET ertr-320 91 15 harmonic harmonic ADJ ertr-320 91 16 mean mean NOUN ertr-320 91 17 of of ADP ertr-320 91 18 recall recall NOUN ertr-320 91 19 and and CCONJ ertr-320 91 20 precision precision NOUN ertr-320 91 21 of of ADP ertr-320 91 22 recommended recommend VERB ertr-320 91 23 locations location NOUN ertr-320 91 24 . . PUNCT ertr-320 92 1 pairs pair NOUN ertr-320 92 2 - - PUNCT ertr-320 92 3 f1 f1 NOUN ertr-320 92 4 score score NOUN ertr-320 92 5 : : PUNCT ertr-320 92 6 proposed propose VERB ertr-320 92 7 in in ADP ertr-320 92 8 ( ( PUNCT ertr-320 92 9 chen chen PROPN ertr-320 92 10 et et PROPN ertr-320 92 11 al al PROPN ertr-320 92 12 . . PROPN ertr-320 92 13 , , PUNCT ertr-320 92 14 2016 2016 NUM ertr-320 92 15 ) ) PUNCT ertr-320 92 16 , , PUNCT ertr-320 92 17 the the DET ertr-320 92 18 pairs pairs NOUN ertr-320 92 19 - - PUNCT ertr-320 92 20 f1 f1 NOUN ertr-320 92 21 score score NOUN ertr-320 92 22 is be AUX ertr-320 92 23 used use VERB ertr-320 92 24 to to PART ertr-320 92 25 evaluate evaluate VERB ertr-320 92 26 both both DET ertr-320 92 27 poi poi X ertr-320 92 28 identity identity NOUN ertr-320 92 29 and and CCONJ ertr-320 92 30 visiting visit VERB ertr-320 92 31 simultaneously simultaneously ADV ertr-320 92 32 . . PUNCT ertr-320 93 1 pairs pair NOUN ertr-320 93 2 - - PUNCT ertr-320 93 3 f1 f1 NOUN ertr-320 93 4 computes compute VERB ertr-320 93 5 the the DET ertr-320 93 6 f1 f1 ADJ ertr-320 93 7 score score NOUN ertr-320 93 8 of of ADP ertr-320 93 9 a a DET ertr-320 93 10 pair pair NOUN ertr-320 93 11 of of ADP ertr-320 93 12 points point NOUN ertr-320 93 13 and and CCONJ ertr-320 93 14 has have VERB ertr-320 93 15 a a DET ertr-320 93 16 value value NOUN ertr-320 93 17 between between ADP ertr-320 93 18 0 0 NUM ertr-320 93 19 and and CCONJ ertr-320 93 20 1 1 NUM ertr-320 93 21 . . X ertr-320 94 1 it it PRON ertr-320 94 2 will will AUX ertr-320 94 3 achieve achieve VERB ertr-320 94 4 a a DET ertr-320 94 5 score score NOUN ertr-320 94 6 of of ADP ertr-320 94 7 1 1 NUM ertr-320 94 8 if if SCONJ ertr-320 94 9 and and CCONJ ertr-320 94 10 only only ADV ertr-320 94 11 if if SCONJ ertr-320 94 12 the the DET ertr-320 94 13 pois pois NOUN ertr-320 94 14 and and CCONJ ertr-320 94 15 the the DET ertr-320 94 16 visiting visit VERB ertr-320 94 17 order order NOUN ertr-320 94 18 are be AUX ertr-320 94 19 exactly exactly ADV ertr-320 94 20 the the DET ertr-320 94 21 same same ADJ ertr-320 94 22 as as ADP ertr-320 94 23 the the DET ertr-320 94 24 user user NOUN ertr-320 94 25 ’s ’s PART ertr-320 94 26 real real ADJ ertr-320 94 27 travel travel NOUN ertr-320 94 28 route route NOUN ertr-320 94 29 . . PUNCT ertr-320 95 1 results result VERB ertr-320 95 2 the the DET ertr-320 95 3 performance performance NOUN ertr-320 95 4 of of ADP ertr-320 95 5 the the DET ertr-320 95 6 different different ADJ ertr-320 95 7 approaches approach NOUN ertr-320 95 8 for for ADP ertr-320 95 9 each each PRON ertr-320 95 10 of of ADP ertr-320 95 11 the the DET ertr-320 95 12 city city NOUN ertr-320 95 13 datasets dataset NOUN ertr-320 95 14 is be AUX ertr-320 95 15 summarized summarize VERB ertr-320 95 16 in in ADP ertr-320 95 17 table table NOUN ertr-320 95 18 2 2 NUM ertr-320 95 19 and and CCONJ ertr-320 95 20 table table NOUN ertr-320 95 21 3 3 NUM ertr-320 95 22 , , PUNCT ertr-320 95 23 in in ADP ertr-320 95 24 terms term NOUN ertr-320 95 25 of of ADP ertr-320 95 26 f1 f1 ADJ ertr-320 95 27 score score NOUN ertr-320 95 28 and and CCONJ ertr-320 95 29 pairs pair NOUN ertr-320 95 30 - - PUNCT ertr-320 95 31 f1 f1 NOUN ertr-320 95 32 score score NOUN ertr-320 95 33 , , PUNCT ertr-320 95 34 respectively respectively ADV ertr-320 95 35 . . PUNCT ertr-320 96 1 the the DET ertr-320 96 2 best good ADJ ertr-320 96 3 method method NOUN ertr-320 96 4 for for ADP ertr-320 96 5 each each DET ertr-320 96 6 dataset dataset NOUN ertr-320 96 7 is be AUX ertr-320 96 8 shown show VERB ertr-320 96 9 in in ADP ertr-320 96 10 bold bold ADJ ertr-320 96 11 and and CCONJ ertr-320 96 12 the the DET ertr-320 96 13 second second ADJ ertr-320 96 14 best good ADJ ertr-320 96 15 in in ADP ertr-320 96 16 italic italic ADJ ertr-320 96 17 . . PUNCT ertr-320 97 1 poirank poirank PROPN ertr-320 97 2 improves improve VERB ertr-320 97 3 upon upon SCONJ ertr-320 97 4 the the DET ertr-320 97 5 performance performance NOUN ertr-320 97 6 of of ADP ertr-320 97 7 poipop poipop NOUN ertr-320 97 8 , , PUNCT ertr-320 97 9 which which PRON ertr-320 97 10 is be AUX ertr-320 97 11 only only ADV ertr-320 97 12 based base VERB ertr-320 97 13 on on ADP ertr-320 97 14 poi poi PROPN ertr-320 97 15 popularity popularity NOUN ertr-320 97 16 , , PUNCT ertr-320 97 17 by by ADP ertr-320 97 18 leveraging leverage VERB ertr-320 97 19 more more ADJ ertr-320 97 20 features feature NOUN ertr-320 97 21 . . PUNCT ertr-320 98 1 among among ADP ertr-320 98 2 all all DET ertr-320 98 3 the the DET ertr-320 98 4 transition transition NOUN ertr-320 98 5 - - PUNCT ertr-320 98 6 based base VERB ertr-320 98 7 approaches approach NOUN ertr-320 98 8 , , PUNCT ertr-320 98 9 directly directly ADV ertr-320 98 10 factorizing factorize VERB ertr-320 98 11 the the DET ertr-320 98 12 weighted weight VERB ertr-320 98 13 transition transition NOUN ertr-320 98 14 matrix matrix NOUN ertr-320 98 15 had have VERB ertr-320 98 16 no no DET ertr-320 98 17 effect effect NOUN ertr-320 98 18 that that PRON ertr-320 98 19 compares compare VERB ertr-320 98 20 to to ADP ertr-320 98 21 the the DET ertr-320 98 22 explicit explicit ADJ ertr-320 98 23 factorization factorization NOUN ertr-320 98 24 method method NOUN ertr-320 98 25 markov markov NOUN ertr-320 98 26 , , PUNCT ertr-320 98 27 which which PRON ertr-320 98 28 indicates indicate VERB ertr-320 98 29 that that SCONJ ertr-320 98 30 the the DET ertr-320 98 31 latent latent NOUN ertr-320 98 32 factor factor NOUN ertr-320 98 33 model model NOUN ertr-320 98 34 includes include VERB ertr-320 98 35 those those DET ertr-320 98 36 features feature NOUN ertr-320 98 37 . . PUNCT ertr-320 99 1 subsequently subsequently ADV ertr-320 99 2 , , PUNCT ertr-320 99 3 the the DET ertr-320 99 4 performance performance NOUN ertr-320 99 5 improved improve VERB ertr-320 99 6 drastically drastically ADV ertr-320 99 7 when when SCONJ ertr-320 99 8 additional additional ADJ ertr-320 99 9 spatial spatial ADJ ertr-320 99 10 and and CCONJ ertr-320 99 11 temporal temporal ADJ ertr-320 99 12 influences influence NOUN ertr-320 99 13 were be AUX ertr-320 99 14 considered consider VERB ertr-320 99 15 . . PUNCT ertr-320 100 1 generally generally ADV ertr-320 100 2 , , PUNCT ertr-320 100 3 we we PRON ertr-320 100 4 found find VERB ertr-320 100 5 that that SCONJ ertr-320 100 6 the the DET ertr-320 100 7 combination combination NOUN ertr-320 100 8 method method NOUN ertr-320 100 9 with with ADP ertr-320 100 10 a a DET ertr-320 100 11 trade trade NOUN ertr-320 100 12 - - PUNCT ertr-320 100 13 off off NOUN ertr-320 100 14 parameter parameter NOUN ertr-320 100 15 𝛼 𝛼 NOUN ertr-320 100 16 of of ADP ertr-320 100 17 around around ADP ertr-320 100 18 0.7 0.7 NUM ertr-320 100 19 achieves achieve VERB ertr-320 100 20 the the DET ertr-320 100 21 best good ADJ ertr-320 100 22 performance performance NOUN ertr-320 100 23 , , PUNCT ertr-320 100 24 which which PRON ertr-320 100 25 indicates indicate VERB ertr-320 100 26 that that SCONJ ertr-320 100 27 point point NOUN ertr-320 100 28 e e NOUN ertr-320 100 29 - - NOUN ertr-320 100 30 review review NOUN ertr-320 100 31 of of ADP ertr-320 100 32 tourism tourism NOUN ertr-320 100 33 research research NOUN ertr-320 100 34 ( ( PUNCT ertr-320 100 35 ertr ertr NOUN ertr-320 100 36 ) ) PUNCT ertr-320 100 37 , , PUNCT ertr-320 100 38 vol vol NOUN ertr-320 100 39 . . PROPN ertr-320 101 1 16 16 NUM ertr-320 101 2 , , PUNCT ertr-320 101 3 no no INTJ ertr-320 101 4 . . PUNCT ertr-320 102 1 2/3 2/3 NUM ertr-320 102 2 , , PUNCT ertr-320 102 3 2019 2019 NUM ertr-320 102 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 102 5 81 81 NUM ertr-320 102 6 rewards reward NOUN ertr-320 102 7 are be AUX ertr-320 102 8 relatively relatively ADV ertr-320 102 9 more more ADV ertr-320 102 10 important important ADJ ertr-320 102 11 . . PUNCT ertr-320 103 1 furthermore furthermore ADV ertr-320 103 2 , , PUNCT ertr-320 103 3 the the DET ertr-320 103 4 methods method NOUN ertr-320 103 5 rank+gtmf rank+gtmf PROPN ertr-320 103 6 and and CCONJ ertr-320 103 7 rank+tgtmf rank+tgtmf PROPN ertr-320 103 8 that that SCONJ ertr-320 103 9 we we PRON ertr-320 103 10 proposed propose VERB ertr-320 103 11 outperformed outperform VERB ertr-320 103 12 baseline baseline NOUN ertr-320 103 13 methods method NOUN ertr-320 103 14 on on ADP ertr-320 103 15 different different ADJ ertr-320 103 16 datasets dataset NOUN ertr-320 103 17 , , PUNCT ertr-320 103 18 which which PRON ertr-320 103 19 indicates indicate VERB ertr-320 103 20 that that SCONJ ertr-320 103 21 spatial spatial ADJ ertr-320 103 22 and and CCONJ ertr-320 103 23 temporal temporal ADJ ertr-320 103 24 information information NOUN ertr-320 103 25 is be AUX ertr-320 103 26 efficient efficient ADJ ertr-320 103 27 in in ADP ertr-320 103 28 the the DET ertr-320 103 29 transition transition NOUN ertr-320 103 30 patterns pattern NOUN ertr-320 103 31 inference inference PROPN ertr-320 103 32 . . PUNCT ertr-320 104 1 table table NOUN ertr-320 104 2 2 2 NUM ertr-320 104 3 : : PUNCT ertr-320 104 4 performance performance NOUN ertr-320 104 5 in in ADP ertr-320 104 6 terms term NOUN ertr-320 104 7 of of ADP ertr-320 104 8 f1 f1 PROPN ertr-320 104 9 score score PROPN ertr-320 104 10 edinburgh edinburgh PROPN ertr-320 104 11 glasgow glasgow PROPN ertr-320 104 12 osaka osaka PROPN ertr-320 104 13 toronto toronto PROPN ertr-320 104 14 poipop poipop NOUN ertr-320 104 15 0.660 0.660 NUM ertr-320 104 16 Β± Β± NUM ertr-320 104 17 0.158 0.158 NUM ertr-320 104 18 0.690 0.690 NUM ertr-320 104 19 Β± Β± NUM ertr-320 104 20 0.164 0.164 NUM ertr-320 104 21 0.640 0.640 NUM ertr-320 104 22 Β± Β± NOUN ertr-320 104 23 0.130 0.130 NUM ertr-320 104 24 0.664 0.664 NUM ertr-320 104 25 Β± Β± NUM ertr-320 104 26 0.120 0.120 NUM ertr-320 104 27 poirank poirank NOUN ertr-320 104 28 0.679 0.679 NUM ertr-320 104 29 Β± Β± NUM ertr-320 104 30 0.145 0.145 NUM ertr-320 104 31 0.708 0.708 NUM ertr-320 104 32 Β± Β± NOUN ertr-320 104 33 0.148 0.148 NUM ertr-320 104 34 0.724 0.724 NUM ertr-320 104 35 Β± Β± NUM ertr-320 104 36 0.160 0.160 NUM ertr-320 104 37 0.749 0.749 NUM ertr-320 104 38 Β± Β± NUM ertr-320 104 39 0.164 0.164 NUM ertr-320 104 40 markov markov NOUN ertr-320 104 41 0.667 0.667 NUM ertr-320 104 42 Β± Β± NUM ertr-320 104 43 0.152 0.152 NUM ertr-320 104 44 0.741 0.741 NUM ertr-320 104 45 Β± Β± NUM ertr-320 104 46 0.165 0.165 NUM ertr-320 104 47 0.688 0.688 NUM ertr-320 104 48 Β± Β± NUM ertr-320 104 49 0.152 0.152 NUM ertr-320 104 50 0.711 0.711 NUM ertr-320 104 51 Β± Β± NUM ertr-320 104 52 0.151 0.151 NUM ertr-320 104 53 tmf tmf NOUN ertr-320 104 54 0.661 0.661 NUM ertr-320 104 55 Β± Β± NUM ertr-320 104 56 0.157 0.157 NUM ertr-320 104 57 0.660 0.660 NUM ertr-320 104 58 Β± Β± NUM ertr-320 104 59 0.157 0.157 NUM ertr-320 104 60 0.660 0.660 NUM ertr-320 104 61 Β± Β± NOUN ertr-320 104 62 0.136 0.136 NUM ertr-320 104 63 0.691 0.691 NUM ertr-320 104 64 Β± Β± NUM ertr-320 104 65 0.157 0.157 NUM ertr-320 104 66 gtmf gtmf ADJ ertr-320 104 67 0.658 0.658 NUM ertr-320 104 68 Β± Β± NUM ertr-320 104 69 0.170 0.170 NUM ertr-320 104 70 0.769 0.769 NUM ertr-320 104 71 Β± Β± NUM ertr-320 104 72 0.190 0.190 NUM ertr-320 104 73 0.671 0.671 NUM ertr-320 104 74 Β± Β± NUM ertr-320 104 75 0.172 0.172 NUM ertr-320 104 76 0.691 0.691 NUM ertr-320 104 77 Β± Β± NUM ertr-320 104 78 0.157 0.157 NUM ertr-320 104 79 tgtmf tgtmf NOUN ertr-320 104 80 0.682 0.682 NUM ertr-320 104 81 Β± Β± NUM ertr-320 104 82 0.172 0.172 NUM ertr-320 104 83 0.777 0.777 NUM ertr-320 104 84 Β± Β± NUM ertr-320 104 85 0.184 0.184 NUM ertr-320 104 86 0.729 0.729 NUM ertr-320 104 87 Β± Β± NUM ertr-320 104 88 0.186 0.186 NUM ertr-320 104 89 0.722 0.722 NUM ertr-320 104 90 Β± Β± NUM ertr-320 104 91 0.175 0.175 NUM ertr-320 104 92 rank rank NOUN ertr-320 104 93 + + CCONJ ertr-320 104 94 markov markov NOUN ertr-320 104 95 0.705 0.705 NUM ertr-320 104 96 Β± Β± NUM ertr-320 104 97 0.162 0.162 NUM ertr-320 104 98 0.756 0.756 NUM ertr-320 104 99 Β± Β± NUM ertr-320 104 100 0.165 0.165 NUM ertr-320 104 101 0.720 0.720 NUM ertr-320 104 102 Β± Β± NUM ertr-320 104 103 0.166 0.166 NUM ertr-320 104 104 0.743 0.743 NUM ertr-320 104 105 Β± Β± NUM ertr-320 104 106 0.165 0.165 NUM ertr-320 104 107 rank rank NOUN ertr-320 104 108 + + CCONJ ertr-320 104 109 tmf tmf NOUN ertr-320 104 110 0.689 0.689 NUM ertr-320 104 111 Β± Β± NUM ertr-320 104 112 0.161 0.161 NUM ertr-320 104 113 0.733 0.733 NUM ertr-320 104 114 Β± Β± NUM ertr-320 104 115 0.172 0.172 NUM ertr-320 104 116 0.738 0.738 NUM ertr-320 104 117 Β± Β± NUM ertr-320 104 118 0.174 0.174 NUM ertr-320 104 119 0.745 0.745 NUM ertr-320 104 120 Β± Β± NOUN ertr-320 104 121 0.160 0.160 NUM ertr-320 104 122 rank rank NOUN ertr-320 104 123 + + CCONJ ertr-320 104 124 gtmf gtmf ADJ ertr-320 104 125 0.709 0.709 NUM ertr-320 104 126 Β± Β± NUM ertr-320 104 127 0.163 0.163 NUM ertr-320 104 128 0.772 0.772 NUM ertr-320 104 129 Β± Β± NUM ertr-320 104 130 0.189 0.189 NUM ertr-320 104 131 0.741 0.741 NUM ertr-320 104 132 Β± Β± NUM ertr-320 104 133 0.169 0.169 NUM ertr-320 104 134 0.764 0.764 NUM ertr-320 104 135 Β± Β± NUM ertr-320 104 136 0.172 0.172 NUM ertr-320 104 137 rank rank NOUN ertr-320 104 138 + + CCONJ ertr-320 104 139 tgtmf tgtmf VERB ertr-320 104 140 0.717 0.717 NUM ertr-320 104 141 Β± Β± NUM ertr-320 104 142 0.163 0.163 NUM ertr-320 104 143 0.786 0.786 NUM ertr-320 104 144 Β± Β± NUM ertr-320 104 145 0.178 0.178 NUM ertr-320 104 146 0.753 0.753 NUM ertr-320 104 147 Β± Β± NOUN ertr-320 104 148 0.187 0.187 NUM ertr-320 104 149 0.767 0.767 NUM ertr-320 104 150 Β± Β± NOUN ertr-320 104 151 0.170 0.170 NUM ertr-320 104 152 table table NOUN ertr-320 104 153 3 3 NUM ertr-320 104 154 : : PUNCT ertr-320 104 155 performance performance NOUN ertr-320 104 156 in in ADP ertr-320 104 157 terms term NOUN ertr-320 104 158 of of ADP ertr-320 104 159 pairs pair NOUN ertr-320 104 160 - - PUNCT ertr-320 104 161 f1 f1 NOUN ertr-320 104 162 score score NOUN ertr-320 104 163 edinburgh edinburgh PROPN ertr-320 104 164 glasgow glasgow PROPN ertr-320 104 165 osaka osaka PROPN ertr-320 104 166 toronto toronto PROPN ertr-320 104 167 poipop poipop NOUN ertr-320 104 168 0.399 0.399 NUM ertr-320 104 169 Β± Β± NUM ertr-320 104 170 0.253 0.253 NUM ertr-320 104 171 0.407 0.407 NUM ertr-320 104 172 Β± Β± NUM ertr-320 104 173 0.296 0.296 NUM ertr-320 104 174 0.324 0.324 NUM ertr-320 104 175 Β± Β± NUM ertr-320 104 176 0.193 0.193 NUM ertr-320 104 177 0.364 0.364 NUM ertr-320 104 178 Β± Β± NUM ertr-320 104 179 0.201 0.201 NUM ertr-320 104 180 poirank poirank NOUN ertr-320 104 181 0.399 0.399 NUM ertr-320 104 182 Β± Β± NUM ertr-320 104 183 0.226 0.226 NUM ertr-320 104 184 0.437 0.437 NUM ertr-320 104 185 Β± Β± NUM ertr-320 104 186 0.252 0.252 NUM ertr-320 104 187 0.468 0.468 NUM ertr-320 104 188 Β± Β± NOUN ertr-320 104 189 0.281 0.281 NUM ertr-320 104 190 0.512 0.512 NUM ertr-320 104 191 Β± Β± NUM ertr-320 104 192 0.293 0.293 NUM ertr-320 104 193 markov markov NOUN ertr-320 104 194 0.385 0.385 NUM ertr-320 104 195 Β± Β± NUM ertr-320 104 196 0.233 0.233 NUM ertr-320 104 197 0.503 0.503 NUM ertr-320 104 198 Β± Β± NUM ertr-320 104 199 0.298 0.298 NUM ertr-320 104 200 0.416 0.416 NUM ertr-320 104 201 Β± Β± NUM ertr-320 104 202 0.261 0.261 NUM ertr-320 104 203 0.442 0.442 NUM ertr-320 104 204 Β± Β± NUM ertr-320 104 205 0.256 0.256 NUM ertr-320 104 206 tmf tmf NOUN ertr-320 104 207 0.380 0.380 NUM ertr-320 104 208 Β± Β± NUM ertr-320 104 209 0.236 0.236 NUM ertr-320 104 210 0.375 0.375 NUM ertr-320 104 211 Β± Β± NUM ertr-320 104 212 0.246 0.246 NUM ertr-320 104 213 0.360 0.360 NUM ertr-320 104 214 Β± Β± NUM ertr-320 104 215 0.200 0.200 NUM ertr-320 104 216 0.420 0.420 NUM ertr-320 104 217 Β± Β± NOUN ertr-320 104 218 0.261 0.261 NUM ertr-320 104 219 gtmf gtmf ADJ ertr-320 104 220 0.412 0.412 NUM ertr-320 104 221 Β± Β± NUM ertr-320 104 222 0.277 0.277 NUM ertr-320 104 223 0.558 0.558 NUM ertr-320 104 224 Β± Β± NUM ertr-320 104 225 0.332 0.332 NUM ertr-320 104 226 0.398 0.398 NUM ertr-320 104 227 Β± Β± NUM ertr-320 104 228 0.273 0.273 NUM ertr-320 104 229 0.476 0.476 NUM ertr-320 104 230 Β± Β± NUM ertr-320 104 231 0.296 0.296 NUM ertr-320 104 232 tgtmf tgtmf NOUN ertr-320 104 233 0.403 0.403 NUM ertr-320 104 234 Β± Β± NOUN ertr-320 104 235 0.279 0.279 NUM ertr-320 104 236 0.576 0.576 NUM ertr-320 104 237 Β± Β± NOUN ertr-320 104 238 0.328 0.328 NUM ertr-320 104 239 0.496 0.496 NUM ertr-320 104 240 Β± Β± NUM ertr-320 104 241 0.319 0.319 NUM ertr-320 104 242 0.540 0.540 NUM ertr-320 104 243 Β± Β± NUM ertr-320 104 244 0.308 0.308 NUM ertr-320 104 245 rank rank NOUN ertr-320 104 246 + + CCONJ ertr-320 104 247 markov markov NOUN ertr-320 104 248 0.446 0.446 NUM ertr-320 104 249 Β± Β± NUM ertr-320 104 250 0.265 0.265 NUM ertr-320 104 251 0.526 0.526 NUM ertr-320 104 252 Β± Β± NUM ertr-320 104 253 0.299 0.299 NUM ertr-320 104 254 0.470 0.470 NUM ertr-320 104 255 Β± Β± NOUN ertr-320 104 256 0.292 0.292 NUM ertr-320 104 257 0.502 0.502 NUM ertr-320 104 258 Β± Β± NOUN ertr-320 104 259 0.292 0.292 NUM ertr-320 104 260 rank rank NOUN ertr-320 104 261 + + CCONJ ertr-320 104 262 tmf tmf NOUN ertr-320 104 263 0.419 0.419 NUM ertr-320 104 264 Β± Β± NUM ertr-320 104 265 0.252 0.252 NUM ertr-320 104 266 0.492 0.492 NUM ertr-320 104 267 Β± Β± NOUN ertr-320 104 268 0.298 0.298 NUM ertr-320 104 269 0.501 0.501 NUM ertr-320 104 270 Β± Β± NUM ertr-320 104 271 0.308 0.308 NUM ertr-320 104 272 0.505 0.505 NUM ertr-320 104 273 Β± Β± NUM ertr-320 104 274 0.288 0.288 NUM ertr-320 104 275 rank rank NOUN ertr-320 104 276 + + CCONJ ertr-320 104 277 gtmf gtmf ADJ ertr-320 104 278 0.461 0.461 NUM ertr-320 104 279 Β± Β± NUM ertr-320 104 280 0.277 0.277 NUM ertr-320 104 281 0.563 0.563 NUM ertr-320 104 282 Β± Β± NOUN ertr-320 104 283 0.330 0.330 NUM ertr-320 104 284 0.509 0.509 NUM ertr-320 104 285 Β± Β± NUM ertr-320 104 286 0.304 0.304 NUM ertr-320 104 287 0.539 0.539 NUM ertr-320 104 288 Β± Β± NUM ertr-320 104 289 0.303 0.303 NUM ertr-320 104 290 rank rank NOUN ertr-320 104 291 + + CCONJ ertr-320 104 292 tgtmf tgtmf VERB ertr-320 104 293 0.471 0.471 NUM ertr-320 104 294 Β± Β± NUM ertr-320 104 295 0.276 0.276 NUM ertr-320 104 296 0.588 0.588 NUM ertr-320 104 297 Β± Β± NUM ertr-320 104 298 0.325 0.325 NUM ertr-320 104 299 0.537 0.537 NUM ertr-320 104 300 Β± Β± NUM ertr-320 104 301 0.326 0.326 NUM ertr-320 104 302 0.547 0.547 NUM ertr-320 104 303 Β± Β± NUM ertr-320 104 304 0.306 0.306 NUM ertr-320 104 305 e e NOUN ertr-320 104 306 - - NOUN ertr-320 104 307 review review NOUN ertr-320 104 308 of of ADP ertr-320 104 309 tourism tourism NOUN ertr-320 104 310 research research NOUN ertr-320 104 311 ( ( PUNCT ertr-320 104 312 ertr ertr NOUN ertr-320 104 313 ) ) PUNCT ertr-320 104 314 , , PUNCT ertr-320 104 315 vol vol NOUN ertr-320 104 316 . . PROPN ertr-320 105 1 16 16 NUM ertr-320 105 2 , , PUNCT ertr-320 105 3 no no INTJ ertr-320 105 4 . . PUNCT ertr-320 106 1 2/3 2/3 NUM ertr-320 106 2 , , PUNCT ertr-320 106 3 2019 2019 NUM ertr-320 106 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 106 5 82 82 NUM ertr-320 106 6 conclusion conclusion NOUN ertr-320 106 7 this this DET ertr-320 106 8 paper paper NOUN ertr-320 106 9 describes describe VERB ertr-320 106 10 a a DET ertr-320 106 11 technique technique NOUN ertr-320 106 12 that that PRON ertr-320 106 13 uses use VERB ertr-320 106 14 locations location NOUN ertr-320 106 15 and and CCONJ ertr-320 106 16 transitions transition NOUN ertr-320 106 17 extracted extract VERB ertr-320 106 18 from from ADP ertr-320 106 19 travel travel NOUN ertr-320 106 20 route route NOUN ertr-320 106 21 data datum NOUN ertr-320 106 22 to to PART ertr-320 106 23 recommend recommend VERB ertr-320 106 24 travel travel NOUN ertr-320 106 25 routes route NOUN ertr-320 106 26 according accord VERB ertr-320 106 27 to to ADP ertr-320 106 28 user user NOUN ertr-320 106 29 queries query NOUN ertr-320 106 30 . . PUNCT ertr-320 107 1 experiment experiment NOUN ertr-320 107 2 results result NOUN ertr-320 107 3 demonstrate demonstrate VERB ertr-320 107 4 that that SCONJ ertr-320 107 5 our our PRON ertr-320 107 6 approaches approach NOUN ertr-320 107 7 outperform outperform VERB ertr-320 107 8 conventional conventional ADJ ertr-320 107 9 methods method NOUN ertr-320 107 10 on on ADP ertr-320 107 11 different different ADJ ertr-320 107 12 datasets dataset NOUN ertr-320 107 13 by by ADP ertr-320 107 14 using use VERB ertr-320 107 15 spatial spatial ADJ ertr-320 107 16 - - PUNCT ertr-320 107 17 temporal temporal ADJ ertr-320 107 18 enhanced enhanced ADJ ertr-320 107 19 transition transition NOUN ertr-320 107 20 patterns pattern NOUN ertr-320 107 21 inference inference NOUN ertr-320 107 22 . . PUNCT ertr-320 108 1 in in ADP ertr-320 108 2 our our PRON ertr-320 108 3 future future ADJ ertr-320 108 4 work work NOUN ertr-320 108 5 , , PUNCT ertr-320 108 6 we we PRON ertr-320 108 7 would would AUX ertr-320 108 8 like like VERB ertr-320 108 9 to to PART ertr-320 108 10 apply apply VERB ertr-320 108 11 the the DET ertr-320 108 12 method method NOUN ertr-320 108 13 proposed propose VERB ertr-320 108 14 in in ADP ertr-320 108 15 this this DET ertr-320 108 16 paper paper NOUN ertr-320 108 17 to to ADP ertr-320 108 18 kyoto kyoto PROPN ertr-320 108 19 city city NOUN ertr-320 108 20 and and CCONJ ertr-320 108 21 evaluate evaluate VERB ertr-320 108 22 it it PRON ertr-320 108 23 with with ADP ertr-320 108 24 real real ADJ ertr-320 108 25 tourists tourist NOUN ertr-320 108 26 . . PUNCT ertr-320 109 1 references reference NOUN ertr-320 109 2 chen chen PROPN ertr-320 109 3 , , PUNCT ertr-320 109 4 d. d. PROPN ertr-320 109 5 , , PUNCT ertr-320 109 6 ong ong PROPN ertr-320 109 7 , , PUNCT ertr-320 109 8 c. c. PROPN ertr-320 109 9 s. s. PROPN ertr-320 109 10 , , PUNCT ertr-320 109 11 & & CCONJ ertr-320 109 12 xie xie PROPN ertr-320 109 13 , , PUNCT ertr-320 109 14 l. l. PROPN ertr-320 109 15 ( ( PUNCT ertr-320 109 16 2016 2016 NUM ertr-320 109 17 ) ) PUNCT ertr-320 109 18 . . PUNCT ertr-320 110 1 learning learn VERB ertr-320 110 2 points point NOUN ertr-320 110 3 and and CCONJ ertr-320 110 4 routes route NOUN ertr-320 110 5 to to PART ertr-320 110 6 recommend recommend VERB ertr-320 110 7 trajectories trajectory NOUN ertr-320 110 8 . . PUNCT ertr-320 111 1 in in ADP ertr-320 111 2 : : PUNCT ertr-320 111 3 25th 25th NOUN ertr-320 111 4 acm acm PROPN ertr-320 111 5 cikm cikm NOUN ertr-320 111 6 ( ( PUNCT ertr-320 111 7 pp pp ADJ ertr-320 111 8 . . PUNCT ertr-320 111 9 2227 2227 NUM ertr-320 111 10 - - SYM ertr-320 111 11 2232 2232 NUM ertr-320 111 12 ) ) PUNCT ertr-320 111 13 . . PUNCT ertr-320 112 1 chen chen PROPN ertr-320 112 2 , , PUNCT ertr-320 112 3 c. c. PROPN ertr-320 112 4 , , PUNCT ertr-320 112 5 zhang zhang PROPN ertr-320 112 6 , , PUNCT ertr-320 112 7 d. d. PROPN ertr-320 112 8 , , PUNCT ertr-320 112 9 guo guo PROPN ertr-320 112 10 , , PUNCT ertr-320 112 11 b. b. PROPN ertr-320 112 12 , , PUNCT ertr-320 112 13 ma ma PROPN ertr-320 112 14 , , PUNCT ertr-320 112 15 x. x. PROPN ertr-320 112 16 , , PUNCT ertr-320 112 17 pan pan PROPN ertr-320 112 18 , , PUNCT ertr-320 112 19 g. g. PROPN ertr-320 112 20 , , PUNCT ertr-320 112 21 & & CCONJ ertr-320 112 22 wu wu PROPN ertr-320 112 23 , , PUNCT ertr-320 112 24 z. z. PROPN ertr-320 112 25 ( ( PUNCT ertr-320 112 26 2015 2015 NUM ertr-320 112 27 ) ) PUNCT ertr-320 112 28 . . PUNCT ertr-320 113 1 tripplanner tripplanner PROPN ertr-320 113 2 : : PUNCT ertr-320 113 3 personalized personalized ADJ ertr-320 113 4 trip trip NOUN ertr-320 113 5 planning plan VERB ertr-320 113 6 leveraging leverage VERB ertr-320 113 7 heterogeneous heterogeneous ADJ ertr-320 113 8 crowdsourced crowdsourced ADJ ertr-320 113 9 digital digital ADJ ertr-320 113 10 footprints footprint NOUN ertr-320 113 11 . . PUNCT ertr-320 114 1 ieee ieee NOUN ertr-320 114 2 tits tit NOUN ertr-320 114 3 , , PUNCT ertr-320 114 4 16(3 16(3 NOUN ertr-320 114 5 ) ) PUNCT ertr-320 114 6 , , PUNCT ertr-320 114 7 1259 1259 NUM ertr-320 114 8 - - SYM ertr-320 114 9 1273 1273 NUM ertr-320 114 10 . . PUNCT ertr-320 115 1 ching ching PROPN ertr-320 115 2 - - PUNCT ertr-320 115 3 pei pei PROPN ertr-320 115 4 , , PUNCT ertr-320 115 5 l. l. PROPN ertr-320 115 6 and and CCONJ ertr-320 115 7 chih chih PROPN ertr-320 115 8 - - PUNCT ertr-320 115 9 jen jen PROPN ertr-320 115 10 , , PUNCT ertr-320 115 11 l. l. PROPN ertr-320 115 12 ( ( PUNCT ertr-320 115 13 2014 2014 NUM ertr-320 115 14 ) ) PUNCT ertr-320 115 15 . . PUNCT ertr-320 116 1 large large ADJ ertr-320 116 2 - - PUNCT ertr-320 116 3 scale scale NOUN ertr-320 116 4 linear linear PROPN ertr-320 116 5 ranksvm ranksvm PROPN ertr-320 116 6 . . PUNCT ertr-320 117 1 neural neural ADJ ertr-320 117 2 computation computation NOUN ertr-320 117 3 26 26 NUM ertr-320 117 4 , , PUNCT ertr-320 117 5 4 4 NUM ertr-320 117 6 ( ( PUNCT ertr-320 117 7 2014 2014 NUM ertr-320 117 8 ) ) PUNCT ertr-320 117 9 , , PUNCT ertr-320 117 10 781–817 781–817 NUM ertr-320 117 11 . . PUNCT ertr-320 118 1 friggstad friggstad PROPN ertr-320 118 2 , , PUNCT ertr-320 118 3 z. z. PROPN ertr-320 118 4 , , PUNCT ertr-320 118 5 gollapudi gollapudi PROPN ertr-320 118 6 , , PUNCT ertr-320 118 7 s. s. PROPN ertr-320 118 8 , , PUNCT ertr-320 118 9 kollias kollias PROPN ertr-320 118 10 , , PUNCT ertr-320 118 11 k. k. PROPN ertr-320 118 12 , , PUNCT ertr-320 118 13 sarlos sarlos NOUN ertr-320 118 14 , , PUNCT ertr-320 118 15 t. t. PROPN ertr-320 118 16 , , PUNCT ertr-320 118 17 swamy swamy PROPN ertr-320 118 18 , , PUNCT ertr-320 118 19 c. c. PROPN ertr-320 118 20 , , PUNCT ertr-320 118 21 & & CCONJ ertr-320 118 22 tomkins tomkins PROPN ertr-320 118 23 , , PUNCT ertr-320 118 24 a. a. NOUN ertr-320 118 25 ( ( PUNCT ertr-320 118 26 2018 2018 NUM ertr-320 118 27 ) ) PUNCT ertr-320 118 28 . . PUNCT ertr-320 119 1 orienteering orienteere VERB ertr-320 119 2 algorithms algorithm NOUN ertr-320 119 3 for for ADP ertr-320 119 4 generating generate VERB ertr-320 119 5 travel travel NOUN ertr-320 119 6 itineraries itinerary NOUN ertr-320 119 7 . . PUNCT ertr-320 120 1 in in ADP ertr-320 120 2 : : PUNCT ertr-320 120 3 11th 11th ADJ ertr-320 120 4 acm acm NOUN ertr-320 120 5 wsdm wsdm NOUN ertr-320 120 6 ( ( PUNCT ertr-320 120 7 pp pp ADJ ertr-320 120 8 . . PUNCT ertr-320 121 1 180 180 NUM ertr-320 121 2 - - NUM ertr-320 121 3 188 188 NUM ertr-320 121 4 ) ) PUNCT ertr-320 121 5 . . PUNCT ertr-320 122 1 lian lian PROPN ertr-320 122 2 , , PUNCT ertr-320 122 3 d. d. PROPN ertr-320 122 4 , , PUNCT ertr-320 122 5 zhao zhao PROPN ertr-320 122 6 , , PUNCT ertr-320 122 7 c. c. PROPN ertr-320 122 8 , , PUNCT ertr-320 122 9 xie xie PROPN ertr-320 122 10 , , PUNCT ertr-320 122 11 x. x. PROPN ertr-320 122 12 , , PUNCT ertr-320 122 13 sun sun PROPN ertr-320 122 14 , , PUNCT ertr-320 122 15 g. g. PROPN ertr-320 122 16 , , PUNCT ertr-320 122 17 chen chen PROPN ertr-320 122 18 , , PUNCT ertr-320 122 19 e. e. PROPN ertr-320 122 20 , , PUNCT ertr-320 122 21 & & CCONJ ertr-320 122 22 rui rui PROPN ertr-320 122 23 , , PUNCT ertr-320 122 24 y. y. PROPN ertr-320 122 25 ( ( PUNCT ertr-320 122 26 2014 2014 NUM ertr-320 122 27 ) ) PUNCT ertr-320 122 28 . . PUNCT ertr-320 123 1 geomf geomf NOUN ertr-320 123 2 : : PUNCT ertr-320 123 3 joint joint ADJ ertr-320 123 4 geo geo PROPN ertr-320 123 5 graphical graphical ADJ ertr-320 123 6 modeling modeling NOUN ertr-320 123 7 and and CCONJ ertr-320 123 8 matrix matrix NOUN ertr-320 123 9 factorization factorization NOUN ertr-320 123 10 for for ADP ertr-320 123 11 point point NOUN ertr-320 123 12 - - PUNCT ertr-320 123 13 of of ADP ertr-320 123 14 - - PUNCT ertr-320 123 15 interest interest NOUN ertr-320 123 16 recommendation recommendation NOUN ertr-320 123 17 . . PUNCT ertr-320 124 1 in in ADP ertr-320 124 2 : : PUNCT ertr-320 124 3 20th 20th ADJ ertr-320 124 4 acm acm NOUN ertr-320 124 5 sigkdd sigkdd NOUN ertr-320 124 6 ( ( PUNCT ertr-320 124 7 pp pp PROPN ertr-320 124 8 . . PUNCT ertr-320 124 9 831 831 NUM ertr-320 124 10 - - SYM ertr-320 124 11 840 840 NUM ertr-320 124 12 ) ) PUNCT ertr-320 124 13 . . PUNCT ertr-320 125 1 lim lim PROPN ertr-320 125 2 , , PUNCT ertr-320 125 3 k. k. PROPN ertr-320 125 4 h. h. PROPN ertr-320 125 5 , , PUNCT ertr-320 125 6 chan chan PROPN ertr-320 125 7 , , PUNCT ertr-320 125 8 j. j. PROPN ertr-320 125 9 , , PUNCT ertr-320 125 10 leckie leckie PROPN ertr-320 125 11 , , PUNCT ertr-320 125 12 c. c. PROPN ertr-320 125 13 , , PUNCT ertr-320 125 14 & & CCONJ ertr-320 125 15 karunasekera karunasekera PROPN ertr-320 125 16 , , PUNCT ertr-320 125 17 s. s. PROPN ertr-320 125 18 ( ( PUNCT ertr-320 125 19 2015 2015 NUM ertr-320 125 20 ) ) PUNCT ertr-320 125 21 . . PUNCT ertr-320 126 1 personalized personalize VERB ertr-320 126 2 tour tour NOUN ertr-320 126 3 recommendation recommendation NOUN ertr-320 126 4 based base VERB ertr-320 126 5 on on ADP ertr-320 126 6 user user NOUN ertr-320 126 7 interests interest NOUN ertr-320 126 8 and and CCONJ ertr-320 126 9 points point NOUN ertr-320 126 10 of of ADP ertr-320 126 11 interest interest NOUN ertr-320 126 12 visit visit NOUN ertr-320 126 13 durations duration NOUN ertr-320 126 14 . . PUNCT ertr-320 127 1 in in ADP ertr-320 127 2 : : PUNCT ertr-320 127 3 24th 24th ADJ ertr-320 127 4 ijcai ijcai NOUN ertr-320 127 5 ( ( PUNCT ertr-320 127 6 pp pp ADJ ertr-320 127 7 . . PUNCT ertr-320 127 8 1778 1778 NUM ertr-320 127 9 - - SYM ertr-320 127 10 1784 1784 NUM ertr-320 127 11 ) ) PUNCT ertr-320 127 12 . . PUNCT ertr-320 128 1 liu liu PROPN ertr-320 128 2 , , PUNCT ertr-320 128 3 q. q. PROPN ertr-320 128 4 , , PUNCT ertr-320 128 5 wu wu PROPN ertr-320 128 6 , , PUNCT ertr-320 128 7 s. s. PROPN ertr-320 128 8 , , PUNCT ertr-320 128 9 wang wang PROPN ertr-320 128 10 , , PUNCT ertr-320 128 11 l. l. PROPN ertr-320 128 12 , , PUNCT ertr-320 128 13 & & CCONJ ertr-320 128 14 tan tan PROPN ertr-320 128 15 , , PUNCT ertr-320 128 16 t. t. PROPN ertr-320 128 17 ( ( PUNCT ertr-320 128 18 2016 2016 NUM ertr-320 128 19 ) ) PUNCT ertr-320 128 20 . . PUNCT ertr-320 129 1 predicting predict VERB ertr-320 129 2 the the DET ertr-320 129 3 next next ADJ ertr-320 129 4 location location NOUN ertr-320 129 5 : : PUNCT ertr-320 129 6 a a DET ertr-320 129 7 recurrent recurrent ADJ ertr-320 129 8 model model NOUN ertr-320 129 9 with with ADP ertr-320 129 10 spatial spatial ADJ ertr-320 129 11 and and CCONJ ertr-320 129 12 temporal temporal ADJ ertr-320 129 13 contexts contexts NOUN ertr-320 129 14 . . PUNCT ertr-320 130 1 in in ADP ertr-320 130 2 : : PUNCT ertr-320 130 3 30th 30th ADJ ertr-320 130 4 aaai aaai PROPN ertr-320 130 5 ( ( PUNCT ertr-320 130 6 pp pp PROPN ertr-320 130 7 . . PUNCT ertr-320 130 8 194 194 NUM ertr-320 130 9 - - SYM ertr-320 130 10 200 200 NUM ertr-320 130 11 ) ) PUNCT ertr-320 130 12 . . PUNCT ertr-320 131 1 lee lee PROPN ertr-320 131 2 , , PUNCT ertr-320 131 3 d. d. PROPN ertr-320 131 4 d.seung d.seung PROPN ertr-320 131 5 , , PUNCT ertr-320 131 6 h. h. PROPN ertr-320 131 7 s. s. PROPN ertr-320 131 8 ( ( PUNCT ertr-320 131 9 1999 1999 NUM ertr-320 131 10 ) ) PUNCT ertr-320 131 11 . . PUNCT ertr-320 132 1 learning learn VERB ertr-320 132 2 the the DET ertr-320 132 3 parts part NOUN ertr-320 132 4 of of ADP ertr-320 132 5 objects object NOUN ertr-320 132 6 by by ADP ertr-320 132 7 non non ADJ ertr-320 132 8 - - ADJ ertr-320 132 9 negative negative ADJ ertr-320 132 10 matrix matrix NOUN ertr-320 132 11 factorization factorization NOUN ertr-320 132 12 . . PUNCT ertr-320 133 1 nature nature NOUN ertr-320 133 2 , , PUNCT ertr-320 133 3 401(6755 401(6755 NUM ertr-320 133 4 ) ) PUNCT ertr-320 133 5 , , PUNCT ertr-320 133 6 788 788 NUM ertr-320 133 7 . . PUNCT ertr-320 134 1 kurata kurata PROPN ertr-320 134 2 , , PUNCT ertr-320 134 3 y. y. PROPN ertr-320 134 4 ( ( PUNCT ertr-320 134 5 2011 2011 NUM ertr-320 134 6 ) ) PUNCT ertr-320 134 7 . . PUNCT ertr-320 135 1 ct ct X ertr-320 135 2 - - PUNCT ertr-320 135 3 planner2 planner2 ADV ertr-320 135 4 : : PUNCT ertr-320 135 5 more more ADV ertr-320 135 6 flexible flexible ADJ ertr-320 135 7 and and CCONJ ertr-320 135 8 interactive interactive ADJ ertr-320 135 9 assistance assistance NOUN ertr-320 135 10 for for ADP ertr-320 135 11 day day NOUN ertr-320 135 12 tour tour NOUN ertr-320 135 13 planning planning NOUN ertr-320 135 14 . . PUNCT ertr-320 136 1 in in ADP ertr-320 136 2 : : PUNCT ertr-320 136 3 enter enter VERB ertr-320 136 4 2011 2011 NUM ertr-320 136 5 ( ( PUNCT ertr-320 136 6 pp pp ADJ ertr-320 136 7 . . PUNCT ertr-320 136 8 25 25 NUM ertr-320 136 9 - - SYM ertr-320 136 10 37 37 NUM ertr-320 136 11 ) ) PUNCT ertr-320 136 12 . . PUNCT ertr-320 137 1 sinnott sinnott PROPN ertr-320 137 2 r. r. PROPN ertr-320 137 3 w. w. PROPN ertr-320 137 4 virtues virtue NOUN ertr-320 137 5 of of ADP ertr-320 137 6 the the DET ertr-320 137 7 haversine haversine NOUN ertr-320 137 8 . . PUNCT ertr-320 138 1 ( ( PUNCT ertr-320 138 2 1984 1984 NUM ertr-320 138 3 ) ) PUNCT ertr-320 138 4 . . PUNCT ertr-320 139 1 sky sky NOUN ertr-320 139 2 and and CCONJ ertr-320 139 3 telescope telescope NOUN ertr-320 139 4 , , PUNCT ertr-320 139 5 68(2):159 68(2):159 NUM ertr-320 139 6 . . PUNCT ertr-320 140 1 tsiligirides tsiligiride NOUN ertr-320 140 2 , , PUNCT ertr-320 140 3 t. t. PROPN ertr-320 140 4 ( ( PUNCT ertr-320 140 5 1984 1984 NUM ertr-320 140 6 ) ) PUNCT ertr-320 140 7 . . PUNCT ertr-320 141 1 heuristic heuristic ADJ ertr-320 141 2 methods method NOUN ertr-320 141 3 applied apply VERB ertr-320 141 4 to to ADP ertr-320 141 5 orienteering orienteering NOUN ertr-320 141 6 . . PUNCT ertr-320 142 1 journal journal NOUN ertr-320 142 2 of of ADP ertr-320 142 3 the the DET ertr-320 142 4 operational operational ADJ ertr-320 142 5 research research NOUN ertr-320 142 6 society society NOUN ertr-320 142 7 , , PUNCT ertr-320 142 8 35(9 35(9 NUM ertr-320 142 9 ) ) PUNCT ertr-320 142 10 , , PUNCT ertr-320 142 11 797 797 NUM ertr-320 142 12 - - SYM ertr-320 142 13 809 809 NUM ertr-320 142 14 . . PUNCT ertr-320 143 1 vansteenwegen vansteenwegen PROPN ertr-320 143 2 , , PUNCT ertr-320 143 3 p. p. NOUN ertr-320 143 4 , , PUNCT ertr-320 143 5 souriau souriau PROPN ertr-320 143 6 , , PUNCT ertr-320 143 7 w. w. PROPN ertr-320 143 8 , , PUNCT ertr-320 143 9 berghe berghe NOUN ertr-320 143 10 , , PUNCT ertr-320 143 11 g. g. PROPN ertr-320 143 12 v. v. PROPN ertr-320 143 13 , , PUNCT ertr-320 143 14 & & CCONJ ertr-320 143 15 van van PROPN ertr-320 143 16 oudheusden oudheusden PROPN ertr-320 143 17 , , PUNCT ertr-320 143 18 d. d. PROPN ertr-320 143 19 ( ( PUNCT ertr-320 143 20 2011 2011 NUM ertr-320 143 21 ) ) PUNCT ertr-320 143 22 . . PUNCT ertr-320 144 1 the the DET ertr-320 144 2 citytrip citytrip ADJ ertr-320 144 3 planner planner NOUN ertr-320 144 4 : : PUNCT ertr-320 144 5 expert expert NOUN ertr-320 144 6 system system NOUN ertr-320 144 7 for for ADP ertr-320 144 8 tourists tourist NOUN ertr-320 144 9 . . PUNCT ertr-320 145 1 expert expert NOUN ertr-320 145 2 systems system NOUN ertr-320 145 3 with with ADP ertr-320 145 4 applications application NOUN ertr-320 145 5 , , PUNCT ertr-320 145 6 38(6 38(6 NOUN ertr-320 145 7 ) ) PUNCT ertr-320 145 8 , , PUNCT ertr-320 145 9 65406546 65406546 NUM ertr-320 145 10 . . PUNCT ertr-320 146 1 xu xu PROPN ertr-320 146 2 , , PUNCT ertr-320 146 3 j. j. PROPN ertr-320 146 4 , , PUNCT ertr-320 146 5 li li PROPN ertr-320 146 6 , , PUNCT ertr-320 146 7 c. c. PROPN ertr-320 146 8 , , PUNCT ertr-320 146 9 wang wang PROPN ertr-320 146 10 , , PUNCT ertr-320 146 11 s. s. PROPN ertr-320 146 12 , , PUNCT ertr-320 146 13 huang huang PROPN ertr-320 146 14 , , PUNCT ertr-320 146 15 f. f. PROPN ertr-320 146 16 , , PUNCT ertr-320 146 17 li li PROPN ertr-320 146 18 , , PUNCT ertr-320 146 19 z. z. PROPN ertr-320 146 20 , , PUNCT ertr-320 146 21 he he PRON ertr-320 146 22 , , PUNCT ertr-320 146 23 y. y. PROPN ertr-320 146 24 , , PUNCT ertr-320 146 25 & & CCONJ ertr-320 146 26 zhao zhao PROPN ertr-320 146 27 , , PUNCT ertr-320 146 28 z. z. PROPN ertr-320 146 29 ( ( PUNCT ertr-320 146 30 2017 2017 NUM ertr-320 146 31 ) ) PUNCT ertr-320 146 32 . . PUNCT ertr-320 147 1 dtrp dtrp ADJ ertr-320 147 2 : : PUNCT ertr-320 147 3 a a DET ertr-320 147 4 flexible flexible ADJ ertr-320 147 5 deep deep ADJ ertr-320 147 6 framework framework NOUN ertr-320 147 7 for for ADP ertr-320 147 8 travel travel NOUN ertr-320 147 9 route route NOUN ertr-320 147 10 planning planning NOUN ertr-320 147 11 . . PUNCT ertr-320 148 1 in in ADP ertr-320 148 2 : : PUNCT ertr-320 148 3 wise2017 wise2017 PROPN ertr-320 148 4 ( ( PUNCT ertr-320 148 5 pp pp ADJ ertr-320 148 6 . . PUNCT ertr-320 148 7 359 359 NUM ertr-320 148 8 - - SYM ertr-320 148 9 375 375 NUM ertr-320 148 10 ) ) PUNCT ertr-320 148 11 . . PUNCT ertr-320 149 1 springer springer NOUN ertr-320 149 2 , , PUNCT ertr-320 149 3 cham cham PROPN ertr-320 149 4 . . PUNCT ertr-320 150 1 e e X ertr-320 150 2 - - NOUN ertr-320 150 3 review review NOUN ertr-320 150 4 of of ADP ertr-320 150 5 tourism tourism NOUN ertr-320 150 6 research research NOUN ertr-320 150 7 ( ( PUNCT ertr-320 150 8 ertr ertr NOUN ertr-320 150 9 ) ) PUNCT ertr-320 150 10 , , PUNCT ertr-320 150 11 vol vol NOUN ertr-320 150 12 . . PROPN ertr-320 150 13 16 16 NUM ertr-320 150 14 , , PUNCT ertr-320 150 15 no no INTJ ertr-320 150 16 . . PUNCT ertr-320 151 1 2/3 2/3 NUM ertr-320 151 2 , , PUNCT ertr-320 151 3 2019 2019 NUM ertr-320 151 4 http://ertr.tamu.edu http://ertr.tamu.edu NOUN ertr-320 151 5 83 83 NUM ertr-320 151 6 zhang zhang PROPN ertr-320 151 7 , , PUNCT ertr-320 151 8 c. c. PROPN ertr-320 151 9 , , PUNCT ertr-320 151 10 liang liang PROPN ertr-320 151 11 , , PUNCT ertr-320 151 12 h. h. PROPN ertr-320 151 13 , , PUNCT ertr-320 151 14 & & CCONJ ertr-320 151 15 wang wang PROPN ertr-320 151 16 , , PUNCT ertr-320 151 17 k. k. PROPN ertr-320 151 18 ( ( PUNCT ertr-320 151 19 2016 2016 NUM ertr-320 151 20 ) ) PUNCT ertr-320 151 21 . . PUNCT ertr-320 152 1 trip trip NOUN ertr-320 152 2 recommendation recommendation NOUN ertr-320 152 3 meets meet VERB ertr-320 152 4 real real ADJ ertr-320 152 5 - - PUNCT ertr-320 152 6 world world NOUN ertr-320 152 7 constraints constraint NOUN ertr-320 152 8 : : PUNCT ertr-320 152 9 poi poi PROPN ertr-320 152 10 availability availability NOUN ertr-320 152 11 , , PUNCT ertr-320 152 12 diversity diversity NOUN ertr-320 152 13 , , PUNCT ertr-320 152 14 and and CCONJ ertr-320 152 15 traveling travel VERB ertr-320 152 16 time time NOUN ertr-320 152 17 uncertainty uncertainty NOUN ertr-320 152 18 . . PUNCT ertr-320 152 19 acm acm PROPN ertr-320 152 20 tois tois NOUN ertr-320 152 21 , , PUNCT ertr-320 152 22 35(1 35(1 NUM ertr-320 152 23 ) ) PUNCT ertr-320 152 24 , , PUNCT ertr-320 152 25 5 5 NUM ertr-320 152 26 . . X ertr-320 152 27 zhuang zhuang PROPN ertr-320 152 28 , , PUNCT ertr-320 152 29 c. c. PROPN ertr-320 152 30 , , PUNCT ertr-320 152 31 yuan yuan PROPN ertr-320 152 32 , , PUNCT ertr-320 152 33 n. n. PROPN ertr-320 152 34 j. j. PROPN ertr-320 152 35 , , PUNCT ertr-320 152 36 song song PROPN ertr-320 152 37 , , PUNCT ertr-320 152 38 r. r. PROPN ertr-320 152 39 , , PUNCT ertr-320 152 40 xie xie PROPN ertr-320 152 41 , , PUNCT ertr-320 152 42 x. x. PROPN ertr-320 152 43 , , PUNCT ertr-320 152 44 & & CCONJ ertr-320 152 45 ma ma PROPN ertr-320 152 46 , , PUNCT ertr-320 152 47 q. q. PROPN ertr-320 152 48 ( ( PUNCT ertr-320 152 49 2017 2017 NUM ertr-320 152 50 ) ) PUNCT ertr-320 152 51 . . PUNCT ertr-320 153 1 understanding understand VERB ertr-320 153 2 people people NOUN ertr-320 153 3 lifestyles lifestyle NOUN ertr-320 153 4 : : PUNCT ertr-320 153 5 construction construction NOUN ertr-320 153 6 of of ADP ertr-320 153 7 urban urban ADJ ertr-320 153 8 movement movement PROPN ertr-320 153 9 knowledge knowledge NOUN ertr-320 153 10 graph graph NOUN ertr-320 153 11 from from ADP ertr-320 153 12 gps gps PROPN ertr-320 153 13 trajectory trajectory NOUN ertr-320 153 14 . . PUNCT ertr-320 154 1 in in ADP ertr-320 154 2 : : PUNCT ertr-320 154 3 26th 26th ADJ ertr-320 154 4 ijcai ijcai NOUN ertr-320 154 5 ( ( PUNCT ertr-320 154 6 pp pp ADJ ertr-320 154 7 . . PUNCT ertr-320 154 8 3616 3616 NUM ertr-320 154 9 - - SYM ertr-320 154 10 3623 3623 NUM ertr-320 154 11 ) ) PUNCT ertr-320 154 12 . . PUNCT ertr-320 155 1 acknowledgment acknowledgment NOUN ertr-320 155 2 this this DET ertr-320 155 3 work work NOUN ertr-320 155 4 is be AUX ertr-320 155 5 partly partly ADV ertr-320 155 6 supported support VERB ertr-320 155 7 by by ADP ertr-320 155 8 mic mic ADJ ertr-320 155 9 scope scope NOUN ertr-320 155 10 ( ( PUNCT ertr-320 155 11 172307001 172307001 NUM ertr-320 155 12 ) ) PUNCT ertr-320 155 13 . . PUNCT