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IDEAL
2004
Springer
14 years 1 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
AOIS
2004
13 years 10 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
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 3 months ago
Assessment of conversation co-mentions as a resource for software module recommendation
Conversation double pivots recommend target items related to a source item, based on co-mentions of source and target items in online forums. We deployed several variants on the d...
Daniel Xiaodan Zhou, Paul Resnick
FLAIRS
2006
13 years 10 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...