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FLAIRS
2010
14 years 7 days 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...
ESWA
2008
152views more  ESWA 2008»
13 years 11 months ago
Collaborative recommender systems: Combining effectiveness and efficiency
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
IWC
2006
44views more  IWC 2006»
13 years 11 months ago
Goal-based structuring in recommender systems
Recommender systems help people to find information that is interesting to them. However, current recommendation techniques only address the user's short-term and long-term i...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
HT
2009
ACM
14 years 5 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci
IUI
2003
ACM
14 years 4 months ago
Towards more conversational and collaborative recommender systems
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
Giuseppe Carenini, Jocelyin Smith, David Poole