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» Learning to Rank for Collaborative Filtering
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CHI
2007
ACM
14 years 5 months ago
Rating, voting & ranking: designing for collaboration & consensus
The OpenChoice system, currently in development, is an open source, open access community rating and filtering service that would improve upon the utility of currently available W...
Don Turnbull
RECSYS
2010
ACM
13 years 5 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
SPIRE
2009
Springer
13 years 11 months ago
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems
Collaborative filtering (CF) shares information between users to provide each with recommendations. Previous work suggests using sketching techniques to handle massive data sets i...
Yoram Bachrach, Ralf Herbrich, Ely Porat
RECSYS
2010
ACM
13 years 5 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
ICML
2010
IEEE
13 years 6 months ago
On the Consistency of Ranking Algorithms
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
John Duchi, Lester W. Mackey, Michael I. Jordan