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INFOCOM
2011
IEEE
12 years 11 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
WWW
2009
ACM
14 years 8 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 8 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
HT
2010
ACM
13 years 9 months ago
Capturing implicit user influence in online social sharing
Online social sharing sites are becoming very popular nowadays among Web users, who use these sites to share their favourite items and to discover interesting and useful items fro...
Ching-man Au Yeung, Tomoharu Iwata
SIAMREV
2010
174views more  SIAMREV 2010»
13 years 2 months ago
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo