Title: Network TV Recommended System Framework and Research of Collaborative Filtering Algorithm
Abstract: In view of the insufficient of network TV recommender system which usually uses collaborative filtering recommendation algorithms,a kind of combination of recommendation algorithm is put forward based on clustering similarty-trust and project properties relationship.Firstly,the combination of recommendation algorithm reduces user's effective range through cluster analysis,then improves the accuracy of recommendation through the trust mechanism,so as to provide better recommendation results for target users.The experimental results show that,the algorithm improves the quality of recommendation.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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