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ECAI
2008
Springer
13 years 9 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
SEKE
2005
Springer
14 years 1 months ago
Knowledge Reuse for Software Reuse
Various intelligent component retrieval techniques have been developed to assist a developer discover or locate components in an efficient manner. These techniques share a common ...
Frank McCarey, Mel Ó Cinnéide, Nicho...
AH
2008
Springer
13 years 9 months ago
What Can I Watch on TV Tonight?
This paper presents the methods used in a TV Recommender System that helps users in the difficult task of finding an interesting TV program from among the hundreds of channels that...
David Bueno, Ricardo Conejo, David Martín, ...
SAC
2006
ACM
14 years 1 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...
AVI
2004
13 years 9 months ago
Two methods for enhancing mutual awareness in a group recommender system
We present a group recommender system for vacations that helps group members who are not able to communicate synchronously to specify their preferences collaboratively and to arri...
Anthony Jameson, Stephan Baldes, Thomas Kleinbauer