id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-10990	He, Chun; Hua, Caijian	Research on User Profile Combined with Collaborative Filtering Recommendation Algorithm for Intelligent Tourism	2023	7	.pdf	application/pdf	5237	263	42	Solve the cold start problem: When a new user joins the system or a new item is launched, due to the lack of user behavior data or item rating information, traditional collaborative filtering algorithms and user portraits may not be able to make accurate recommendations. They analyze user behavior and preferences to discover 64 similarities between users or items, thereby generating personalized recommendations for users.	cache/ajst-10990.pdf	txt/ajst-10990.txt