id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-1774	Zhang, JiaPeng	Design and Implementation of Insurance Product Recommendation System	2022	4	.pdf	application/pdf	3123	112	38	Recommendation system based on singular value decomposition and multi-objective immune optimization[J]. As shown in Table 1, the system divides the user's interest in the product degree into different behavioral association scores (-1 to 5 points), the higher the score, the higher the user's interest in the product, through the extraction of the user's behavior log to obtain the user's behavior score of the product, based on the recorded log data through the LDA-ALS algorithm model data calculation for personalized product recommendations.	cache/fcis-1774.pdf	txt/fcis-1774.txt