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» Probabilistic relevance ranking for collaborative filtering
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ECAI
2008
Springer
13 years 6 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
SAC
2006
ACM
13 years 11 months ago
Distributed collaborative filtering for peer-to-peer file sharing systems
Collaborative filtering requires a centralized rating database. However, within a peer-to-peer network such a centralized database is not readily available. In this paper, we pro...
Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk...
ECIR
2009
Springer
14 years 2 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
CHI
2004
ACM
14 years 5 months ago
Tangible interface for collaborative information retrieval
Most information retrieval (IR) interfaces are designed for a single user working with a dedicated interface. We present a system in which the IR interface has been fully integrat...
Alan F. Blackwell, Mark Stringer, Eleanor F. Toye,...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 5 months ago
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Ryan Prescott Adams, George E. Dahl, Iain Murray