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

Published in:	Tongxin xuebao
Main Authors:	Hui-gui RONG, Sheng-xu HUO, Chun-hua HU, Jin-xia MO
Format:	Article
Language:	Chinese
Published:	Editorial Department of Journal on Communications 2014-02-01
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/