A new temporal and social PMF-based method to predict users' interests in micro-blogging

Micro-blogging is becoming an increasingly popular social media platform where users can discover interesting information about the real world and especially corporations are able to understand customers' demands. The fast diffusion of information and the convenience of micro-blogging have resu...

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Veröffentlicht in:	Decision Support Systems 2013-06, Vol.55 (3), p.698-709
Hauptverfasser:	Bao, Hongyun, Li, Qiudan, Liao, Stephen Shaoyi, Song, Shuangyong, Gao, Heng
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Blogs Computer science control theory systems Computer systems and distributed systems. User interface Demand Diffusion rate Exact sciences and technology Factorization Friendship Fuses Impact analysis Information sharing Interest variation Mathematical models Micro-blogging Social networks Software Studies Temporal and social probabilistic matrix factorization model Temporal logic User behavior User interest prediction
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