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AIRS
2005
Springer
14 years 1 months ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...
AOIS
2003
13 years 9 months ago
Market-Based Recommendations: Design, Simulation and Evaluation
This paper reports on the design, implementation, and evaluation of a market-based recommender system that suggests relevant documents to users. The key feature of the system is t...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
SGAI
2004
Springer
14 years 1 months ago
Incremental Critiquing
Conversational recommender systems guide users through a product space, alternatively making concrete product suggestions and eliciting the user’s feedback. Critiquing is a comm...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
RECSYS
2009
ACM
14 years 2 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
ATAL
2007
Springer
14 years 2 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak