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» Fuzzy Ranking Model Based on User Preference
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AI
2010
Springer
15 years 4 months ago
Elicitation strategies for soft constraint problems with missing preferences: Properties, algorithms and experimental studies
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, settings where agents are distributed and have privacy issues, or ...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
149
Voted
VLDB
2002
ACM
151views Database» more  VLDB 2002»
15 years 3 months ago
Preference SQL - Design, Implementation, Experiences
Current search engines can hardly cope adequately with fuzzy predicates defined by complex preferences. The biggest problem of search engines implemented with standard SQL is that...
Werner Kießling, Gerhard Köstler
WWW
2009
ACM
16 years 4 months ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...
177
Voted
WWW
2011
ACM
14 years 11 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
136
Voted
WWW
2006
ACM
16 years 4 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho