Jan 28, 2015 · The model learns users' latent preferences by extracting keywords on aggregated messages over a period of time via a topic model, and then the ...

The experimental results of friend recommendations on Sina Weibo, one of the most popular microblogging sites in China, have demonstrated the effectiveness of ...

Abstract—Due to its brief form and growing popularity, microblogging is becoming people's favorite choice for seek- ing information and expressing opinions.

A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems · IEEE Transactions on Systems, Man, and Cybernetics Systems 45(9): 1245-1253.

ABSTRACT. The existing social networking suppliers advocate shut friends to assist finish users in keeping with their own social.

In this project, we propose a temporal-topic model for friend recommendations in Chinese microblogging systems. The model first discovers users‟ latent ...

Authors. Title: : A Temporal-topic Model For Friend Recommendations In Chinese Microblogging Systems PaperId: : 3462. Published in: International Journal Of ...

ABSTRACT: Microblogging e.g. Twitter as a brand new variety of on-line communication within which users observe their daily lives, publish opinions or share ...

A temporal-topic model for friend recommendations in Chinese microblogging systems. N Zheng, S Song, H Bao. IEEE transactions on systems, man, and cybernetics ...

A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems · A new temporal and social PMF-based method to predict users' interests in ...