id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2dimm6xerfcsnc7w5ji6qhdb7y	Zhao Yufeng	Design and Implementation of Music Recommendation System Based on Hadoop	2018	7	.pdf	application/pdf	3826	384	62	Design and Implementation of Music Recommendation System Based on Hadoop recommendation algorithm, this paper introduces k-means clustering algorithm to improve the recommendation Collaborative Filtering; Recommendation Algorithm; Hadoop recommendation algorithm is based on several users that are 1) Construct users song data representation matrix. user-song matrix, the similarity algorithm is used to value of a song that a similar user has heard while the target recommendation algorithm based on user collaborative algorithm to calculate the cluster center point of user label for users in each cluster.This step is divided into a number of calculating user similarity, generating recommended results. recommended algorithm layer uses Hadoop cluster for recommends different songs to different users, which user-based collaborative filtering recommendation algorithm distributed collaborative filtering recommendation algorithm, user-based collaborative filtering algorithm, the clustering and the recommendation algorithm after the the recommendation algorithm by using the song tag for recommendation algorithm based on item and user[J].Information 	./cache/work_2dimm6xerfcsnc7w5ji6qhdb7y.pdf	./txt/work_2dimm6xerfcsnc7w5ji6qhdb7y.txt