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» Analysis of Web Search Engine Clicked Documents
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SIGIR
2008
ACM
13 years 7 months ago
A user browsing model to predict search engine click data from past observations
Search engine click logs provide an invaluable source of relevance information but this information is biased because we ignore which documents from the result list the users have...
Georges Dupret, Benjamin Piwowarski
IJCAI
2007
13 years 9 months ago
Learning User Clicks in Web Search
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...
CIKM
2009
Springer
14 years 2 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
WWW
2007
ACM
14 years 8 months ago
Automatic search engine performance evaluation with click-through data analysis
Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. Wit...
Yiqun Liu, Yupeng Fu, Min Zhang, Shaoping Ma, Liyu...
COLING
2010
13 years 2 months ago
Search with Synonyms: Problems and Solutions
Search with synonyms is a challenging problem for Web search, as it can easily cause intent drifting. In this paper, we propose a practical solution to this issue, based on co-cli...
Xing Wei, Fuchun Peng, Huihsin Tseng, Yumao Lu, Xu...