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» Adapting ranking functions to user preference
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ER
2006
Springer
137views Database» more  ER 2006»
13 years 8 months ago
Preference Functional Dependencies for Managing Choices
Abstract. The notion of user preference in database modeling has recently received much attention in advanced applications, such as personalization of e-services, since it captures...
Wilfred Ng
ICDE
2010
IEEE
283views Database» more  ICDE 2010»
14 years 4 months ago
Personalized Web Search with Location Preferences
As the amount of Web information grows rapidly, search engines must be able to retrieve information according to the user's preference. In this paper, we propose a new web sea...
Kenneth Wai-Ting Leung, Dik Lun Lee, Wang-Chien Le...
SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
12 years 7 months ago
Ranking with uncertain scoring functions: semantics and sensitivity measures
Ranking queries report the top-K results according to a user-defined scoring function. A widely used scoring function is the weighted summation of multiple scores. Often times, u...
Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinen...
ICML
2006
IEEE
14 years 5 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
ICML
1998
IEEE
14 years 5 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...