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INFOCOM
2011
IEEE
12 years 8 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
CSCW
2011
ACM
12 years 8 months ago
Do you want to know?: recommending strangers in the enterprise
Recent studies on people recommendation have focused on suggesting people the user already knows. In this work, we use social media behavioral data to recommend people the user is...
Ido Guy, Sigalit Ur, Inbal Ronen, Adam Perer, Mich...
SEMWEB
2005
Springer
13 years 10 months ago
Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context
Recommender algorithms have been quite successfully employed in a variety of scenarios from filtering applications to recommendations of movies and books at Amazon.com. However, a...
Stefania Ghita, Wolfgang Nejdl, Raluca Paiu
BCSHCI
2007
13 years 6 months ago
"The devil you know knows best": how online recommendations can benefit from social networking
The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been ver...
Philip Bonhard, Martina Angela Sasse, Clare Harrie...
GROUP
2010
ACM
13 years 2 months ago
The effects of group composition on decision quality in a social production community
Online social production communities allow efficient construction of valuable and high-quality information sources. To be successful, community members must be effective at collab...
Shyong K. Lam, Jawed Karim, John Riedl