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GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
13 years 9 months ago
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
DASFAA
2007
IEEE
134views Database» more  DASFAA 2007»
13 years 11 months ago
Eliciting Matters - Controlling Skyline Sizes by Incremental Integration of User Preferences
Today, result sets of skyline queries are unmanageable due to their exponential growth with the number of query predicates. In this paper we discuss the incremental re-computation ...
Wolf-Tilo Balke, Ulrich Güntzer, Christoph Lo...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 6 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
WWW
2004
ACM
14 years 5 months ago
Adaptive web search based on user profile constructed without any effort from users
Web search engines help users find useful information on the World Wide Web (WWW). However, when the same query is submitted by different users, typical search engines return the ...
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshika...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 5 months ago
Mining long-term search history to improve search accuracy
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Bin Tan, Xuehua Shen, ChengXiang Zhai