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149
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ACL
2009
15 years 2 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
153
Voted
COLING
2010
14 years 12 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
WWW
2010
ACM
15 years 12 months ago
Visualizing differences in web search algorithms using the expected weighted hoeffding distance
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
148
Voted
SIGIR
2010
ACM
15 years 8 months ago
Assessing the scenic route: measuring the value of search trails in web logs
Search trails mined from browser or toolbar logs comprise queries and the post-query pages that users visit. Implicit endorsements from many trails can be useful for search result...
Ryen W. White, Jeff Huang
KDD
2004
ACM
146views Data Mining» more  KDD 2004»
16 years 5 months ago
Using Hyperlink Features to Personalize Web Search
Personalized search has gained great popularity to improve search effectiveness in recent years. The objective of personalized search is to provide users with information tailored ...
Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer