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CHI
2009
ACM
14 years 4 days ago
Make new friends, but keep the old: recommending people on social networking sites
This paper studies people recommendations designed to help users find known, offline contacts and discover new friends on social networking sites. We evaluated four recommender al...
Jilin Chen, Werner Geyer, Casey Dugan, Michael J. ...
AOIS
2004
13 years 9 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
DEBU
2008
71views more  DEBU 2008»
13 years 7 months ago
User Experiences and Impressions of Recommenders in Complex Information Environments
We studied how actual users find items of interest in today's complex, recommender-rich information environments, what role recommenders play in it, and if recommenders incre...
Juha Leino, Kari-Jouko Räihä
UAI
2003
13 years 8 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
RECSYS
2009
ACM
14 years 2 months ago
Using twitter to recommend real-time topical news
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
Owen Phelan, Kevin McCarthy, Barry Smyth