Research of Collaborative Filtering Recommendation Algorithm
LI Xiaoyu
Abstract：Collaborative filtering recommendation is a widely-used personalized recommendation algorithm.However,the al?gorithm mainly has problems of cold start,data sparsity and recommendation accuracy. This paper mainly introduces the similarity measurement methods used in collaborative filtering recommendation algorithm,and summarizes the solutions to the main problems faced by the algorithm. This paper also has a vision for the development of collaborative filtering technology.
Keywords：similaritycollaborative filteringalgorithmsrecommendation
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2118-2122,2136 )