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DL
2000
Springer
173views Digital Library» more  DL 2000»
13 years 11 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
ATAL
2009
Springer
14 years 2 months ago
Producing timely recommendations from social networks through targeted search
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Anil Gürsel, Sandip Sen
JUCS
2010
168views more  JUCS 2010»
13 years 2 months ago
Extraction of Contextualized User Interest Profiles in Social Sharing Platforms
: Along with the emergence of the Web 2.0, E-learning more often takes place in open environments such as wikis, blogs, and resource sharing platforms. Nowadays, many companies dep...
Rafael Schirru, Stephan Baumann, Martin Memmel, An...
LWA
2007
13 years 9 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
ECSCW
2001
13 years 8 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...