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» Fuzzy Ranking Model Based on User Preference
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ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 26 days ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
KES
2004
Springer
13 years 11 months ago
An Objective Function Based on Fuzzy Preferences in Dynamic Decision Making
Abstract. This paper presents a mathematical model for dynamic decision making with an objective function induced from fuzzy preferences. The fuzzy preference is related to decisio...
Yuji Yoshida, Masami Yasuda, Jun-ichi Nakagami, Ma...
ICDE
2005
IEEE
86views Database» more  ICDE 2005»
14 years 7 months ago
Personalized Queries under a Generalized Preference Model
Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The un...
Georgia Koutrika, Yannis E. Ioannidis
SIGIR
2006
ACM
14 years 11 days ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...