Recommendation mechanism based on user voting in the social network

被引：0

作者：

Liu, Xiwen ^{[1
]}

Jiang, Junjie ^{[2
]}

机构：

[1] School of Computer Science and Engineering, Southeast University

[2] Alcatel-Lucent Co. Ltd.

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2013年 / 43卷 / 02期

关键词：

Hotspot information; Personalized friends; Recommendation mechanism; Social network;

D O I：

10.3969/j.issn.1001-0505.2013.02.014

中图分类号：

学科分类号：

摘要：

In order to improve the performance of the hotspot information recommendation and personalized friends recommendation in online social networks, a recommendation mechanism based on user voting is proposed. First, according to a large number of users' voting for a certain message, the heat and value of the message can be evaluated. Then a hotspot information recommendation algorithm is proposed combining users' operation on the information, including browsing, forwarding and commenting, and the time factor. Secondly, according to one user's voting for lots of information, the user's interest feature is extracted. Then a personalized friends recommendation algorithm is proposed. Finally, simulation experiments are performed separately to evaluate the effects of different factors on the validity of the two recommendation algorithms. The results show that the proposed recommendation mechanism based on user voting can work effectively and efficiently.

引用

页码：301 / 306

页数：5

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