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http://dx.doi.org/10.5392/JKCA.2017.17.02.404

Contents Recommendation Scheme Considering User Activity in Social Network Environments  

Ko, Geonsik (충북대학교 빅데이터학과)
Kim, Byounghoon (충북대학교 빅데이터학과)
Kim, Daeyun (충북대학교 빅데이터학과)
Choi, Minwoong (충북대학교 빅데이터학과)
Lim, Jongtae (충북대학교 정보통신공학과)
Bok, Kyoungsoo (충북대학교 정보통신공학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.17, no.2, 2017 , pp. 404-414 More about this Journal
Abstract
With the development of smartphones and online social networks, users produce a lot of contents and share them with each other. Therefore, users spend time by viewing or receiving the contents they do not want. In order to solve such problems, schemes for recommending useful contents have been actively studied. In this paper, we propose a contents recommendation scheme using collaborative filtering for users on online social networks. The proposed scheme consider a user trust in order to remove user data that lower the accuracy of recommendation. The user trust is derived by analyzing the user activity of online social network. For evaluating the user trust from various points of view, we collect user activities that have not been used in conventional techniques. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.
Keywords
Online Social Network; User Activity; User Trust; Content Recommendation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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