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» Predicting user satisfaction from subject satisfaction
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WWW
2010
ACM
15 years 4 months ago
Predicting positive and negative links in online social networks
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...
89
Voted
SIGIR
2006
ACM
15 years 3 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
HICSS
2003
IEEE
121views Biometrics» more  HICSS 2003»
15 years 2 months ago
Fifteen Years of GSS in the Field: A Comparison Across Time and National Boundaries
It has been over two decades since Group Support Systems (GSS) emerged on the Information Technology (IT) scene. GSS have now been commercialized and are present in an increasing ...
Gert-Jan de Vreede, Douglas R. Vogel, Gwendolyn L....
111
Voted
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
15 years 1 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
WWW
2007
ACM
15 years 10 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng