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» Optimizing search engines using clickthrough data
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DASFAA
2004
IEEE
134views Database» more  DASFAA 2004»
13 years 11 months ago
Applying Co-training to Clickthrough Data for Search Engine Adaptation
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
Qingzhao Tan, Xiaoyong Chai, Wilfred Ng, Dik Lun L...
WWW
2010
ACM
14 years 2 months ago
Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data
Leveraging clickthrough data has become a popular approach for evaluating and optimizing information retrieval systems. Although data is plentiful, one must take care when interpr...
Yisong Yue, Rajan Patel, Hein Roehrig
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 8 months ago
Event detection from evolution of click-through data
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...
CORR
2006
Springer
118views Education» more  CORR 2006»
13 years 7 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
AAAI
2008
13 years 10 months ago
Mining Translations of Web Queries from Web Click-through Data
Query translation for Cross-Lingual Information Retrieval (CLIR) has gained increasing attention in the research area. Previous work mainly used machine translation systems, bilin...
Rong Hu, Weizhu Chen, Jian Hu, Yansheng Lu, Zheng ...