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No file available [This article belongs to Volume - 52, Issue - 4]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : 410
Title : Research on Improvement of Collaborative Filtering Recommendation Algorithm Based on Data Sparseness
Yue X, , Tang D, , Shu H, , An Y,

Abstract : With the advent of the era of big data, the problem of information overload has become particularly serious. The recommendation system can provide personalized recommendation services for users by analyzing users' basic information and users' behavior information. How to push information accurately and efficiently has become an urgent issue in the era of big data. Based on the Alternating Least Squares (ALS) collaborative filtering recommendation algorithm, this paper reduces the loss of the inv

Keywords : ALS, Collaborative Filtering Recommendation Algorithm Based, Data Sparseness With, Alternating Least Squares, research