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114
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RECSYS
2010
ACM
15 years 2 months ago
2010
ACM
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
127
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RECSYS
2009
ACM
15 years 8 months ago
2009
ACM
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
WWW
2005
ACM
16 years 2 months ago
2005
ACM
A search engine evaluation model that considers over seventy performance and feature parameters is presented. The design of a web-based system that allows the user to tailor the m...
143
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CLEF
2009
Springer
15 years 3 months ago
2009
Springer
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...
CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...