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TKDE
2012
190views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
14 years 13 days ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
CIKM
2009
Springer
14 years 2 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
ICWSM
2008
13 years 9 months ago
A Social Network Based Approach to Personalized Recommendation of Participatory Media Content
Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We belie...
Aaditeshwar Seth, Jie Zhang
CN
2007
90views more  CN 2007»
13 years 7 months ago
A scalable solution for engineering streaming traffic in the future Internet
As traffic on the Internet continues to grow exponentially, there is a real need to solve scalability and traffic engineering simultaneously — specifically, without using over-p...
Mario Baldi, Guido Marchetto, Yoram Ofek