一种基于社交网络社区的组推荐框架

doi:10.11999/JEIT160544

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Abstract

Group recommendation confronts two major problems, i.e., unambiguous definition and identification of groups and efficient recommendation to users in groups. To tackle the two problems, a group recommendation framework based on social network community is proposed. The framework takes into account social network structural information to identify overlapping groups, which is well interpreted; and fulfills the task of recommending to groups by performing aggregation and allocation strategies using the membership of users related to groups, which considers how much users contribute to groups and benefit from groups. Experimental results on publicly open datasets demonstrate its efficiency and accuracy on the task of group recommendation.

Key words： Social network Group recommendation Overlapping network community Non-negative matrix factorization

Received: 27 May 2016 Published: 09 August 2016

PACS:

TP391

Fund:

The National Key Basic Research and Department Program of China (2013CB329606), Special Fund for Beijing Common Construction Project

Corresponding Authors: LIU Yu E-mail: liuyu@bupt.edu.cn

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	LIU Yu
	WU Bin
	ZENG Xuelin
	ZHANG Yunlei
	WANG Bai

Cite this article:

LIU Yu,WU Bin,ZENG Xuelin等. A Group Recommendation Framework Based on Social Network Community[J]. JEIT, 2016, 38(9): 2150-2157.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160544 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I9/2150

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