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FLAIRS
2010
13 years 5 months ago
Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L...
CEEMAS
2005
Springer
13 years 9 months ago
Dialectical Theory for Multi-agent Assumption-Based Planning
The purpose of this paper is to introduce a dialectical theory for plan synthesis based on a multi-agent approach. This approach is a promising way to devise systems based on agent...
Damien Pellier, Humbert Fiorino
AWIC
2004
Springer
13 years 9 months ago
Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems
Abstract. Hybrid recommender systems are capable of providing better recommendations than non-hybrid ones. Our approach to hybrid recommenders is the use of prediction strategies t...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
UCS
2007
Springer
13 years 10 months ago
Context Awareness by Case-Based Reasoning in a Music Recommendation System
The recommendation system is one of the core technologies for implementing personalization services. Recommendation systems in ubiquitous computing environment should have the capa...
Jae Sik Lee, Jin Chun Lee
EWCBR
2008
Springer
13 years 6 months ago
Conversational Case-Based Recommendations Exploiting a Structured Case Model
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...
Quang Nhat Nguyen, Francesco Ricci