id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_nq37vdnimjagpmgma7pomew6b4	Hao Chang	Research on Commodity Mixed Recommendation Algorithm	2020	8	.pdf	application/pdf	4749	375	58	collaborative filtering algorithm with the decision tree algorithm, create a collaborative filtering decision tree collaborative filtering decision tree algorithm on the Hadoop random analysis (sampling survey), the big data model big data model based on collaborative filtering. recommendation algorithm combines the decision tree data set processed by the decision tree, and vote. contact with users, Random Forest will not recommend time, AHP improved collaborative filtering algorithm recommendation algorithm cannot treat all user Step 2: The user's rating data for the brand. need to calculate the user's rating value for the brand. recommended to the user u based on the result of the random forest recommendation algorithm and the collaborative filtering recommendation algorithm, the random forest model can recommend brands that users filtering algorithm recommends brands that have not collaborative filtering algorithm can be calculated collaborative filtering algorithms and the result final collaborative filtering recommendation algorithm 	./cache/work_nq37vdnimjagpmgma7pomew6b4.pdf	./txt/work_nq37vdnimjagpmgma7pomew6b4.txt