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http://dx.doi.org/10.5392/JKCA.2013.13.11.011

Social Network Group Recommendation Using Dynamic User Profiles and Collaborative Filtering  

Yang, Heetae (충북대학교 정보통신공학과)
Cha, Jaehong (충북대학교 정보통신공학과)
Ahn, Minje (충북대학교 정보통신공학과)
Lim, Jongtae (충북대학교 정보통신공학과)
Li, He (충북대학교 정보통신공학과)
Bok, Kyoungsoo (충북대학교 정보통신공학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.13, no.11, 2013 , pp. 11-20 More about this Journal
Abstract
Recently, as SNS services have been increased, studies on recommendation schemes have been actively done. Recommendation scheme provides various favorable or needed services with users on real time. Group recommendation provides users with suitable groups based on their preference. In this paper, we propose a new group recommendation scheme considering user profiles and collaborative filtering in social networks. The proposed scheme can solve the problems of the static profile based group recommendation scheme because it collects the recent group activities and updates user profiles. It also recommends the more various groups by reflecting the similar tendencies of other users within a group through collaborative filtering. Our experimental results show that the proposed scheme recommends various groups that significantly considers the user's changing preferences compared to the existing scheme.
Keywords
Social Network; Profile; Collaborative Filtering; Group Recommendation; SNS;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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