User similarity-based collaborative filtering recommendation algorithm

User similarity-based collaborative filtering recommendation algorithm

Collaborative filtering recommendation algorithms widely used in e-commerce, recommend interesting content for users from massive data resources by studying their preferences and interests. The focus of similarity and evaluation have been changed when applied to social networks, however, they cause...

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Bibliographic Details
Main Authors: Hui-gui RONG, Sheng-xu HUO, Chun-hua HU, Jin-xia MO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-02-01
Series:Tongxin xuebao
Subjects:
collaborative filtering
user similarity
attribute similarity
interactive similarity
user satisfaction
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.003/
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http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.003/

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