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IWC
2006
44views more  IWC 2006»
13 years 10 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 4 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 3 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
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 11 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
CIKM
2010
Springer
13 years 5 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel