A Group Recommendation Framework Based on Social Network Community

LIU Yu; WU Bin; ZENG Xuelin; ZHANG Yunlei; WANG Bai

doi:10.11999/JEIT160544

Volume 38 Issue 9

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2150-2157

LIU Yu, WU Bin, ZENG Xuelin, ZHANG Yunlei, WANG Bai. A Group Recommendation Framework Based on Social Network Community[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2150-2157. doi: 10.11999/JEIT160544

Citation:

LIU Yu, WU Bin, ZENG Xuelin, ZHANG Yunlei, WANG Bai. A Group Recommendation Framework Based on Social Network Community[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2150-2157. doi: 10.11999/JEIT160544

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A Group Recommendation Framework Based on Social Network Community

doi: 10.11999/JEIT160544

Funds:

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

Received Date: 2016-05-27
Rev Recd Date: 2016-07-18
Publish Date: 2016-09-19

Abstract

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.
- Social network,
- Group recommendation,
- Overlapping network community,
- Non-negative matrix factorization

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References(27)

References

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