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RECSYS
2009
ACM
14 years 1 months ago
Critiquing recommenders for public taste products
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
Pearl Pu, Maoan Zhou, Sylvain Castagnos
CHI
2008
ACM
13 years 11 months ago
When the designer becomes the user: designing a system for therapists by becoming a therapist
In this paper, we present the design process for developing a technology to support therapists for children with autism. To learn about the domain for which we were designing, one...
Julie A. Kientz, Gregory D. Abowd
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
IDEAL
2004
Springer
14 years 2 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
ISOLA
2010
Springer
13 years 7 months ago
A Case Study in Model-Based Adaptation of Web Services
Abstract. Developing systems through the composition of reusable software services is not straightforward in most situations since different kinds of mismatch may occur among their...
Javier Cámara, José Antonio Mart&iac...