|A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems|
|Nan Zheng; Shuangyong Song; Hongyun Bao
|Source Publication||IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS
|Abstract||Due to its brief form and growing populaity, microbogging is becoming people's favorite choice for seeking information and expressing opinions. Messages received by a user mainly depend on whom the use follows. Thus, rcommending user with smilar interests may inprove the experience quality for information reveiving. Since messages posted by microblogging user reflect their main focus to a large extent, we can discover users' preferences by analyzing the user-generated contents. Moreover, users' interests are not static, on the contrary, they change as time goes by. Based on such intuitions, in this paper, we propose a temporal-topic model to analyze users' possible behaviors and predict their potential friends in microblogging. The model learns users' latent preferences by extracting keywords on aggregated messages over a period of time via a topic model, and then the impact of time is considered to deal with interest drifts. The experimental results of friend recommendations on Sina Weibo, one of the most popular microblogging sites in China, have demonstrated the effectiveness of our model.|
|Affiliation||the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences|
|First Author Affilication||Institute of Automation, Chinese Academy of Sciences
Nan Zheng,Shuangyong Song,Hongyun Bao. A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems[J]. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS,2015,45(9):1245-1253.
Nan Zheng,Shuangyong Song,&Hongyun Bao.(2015).A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems.IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS,45(9),1245-1253.
Nan Zheng,et al."A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems".IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS 45.9(2015):1245-1253.
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