文章基本信息

标题：Various Methods of Using Content-Based Filtering Algorithm for Recommender Systems
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作者：Swathi S R ; Sreeja Devi P ; Dr.Shelbi Joseph 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：2
页码：1606
DOI：10.15680/IJIRSET.2017.0602026
出版社：S&S Publications
摘要：Recommender systems play an active role in many applications for generating personalizedrecommendations to the customers. In that the content-based filtering recommend items based on the content analysisand the user profile and the collaborative filtering recommend items based on the user ratings. This paper presents asurvey on various ways in which the content-based filtering algorithms optimized for effective recommendations to thecustomers. The content-based filtering algorithm predicts the suggestions for the user according to the user’s interest.
关键词：Recommender System; Content-based Filtering; Collaborative Filtering.