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» Contextual Ranking of Keywords Using Click Data
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EMNLP
2009
14 years 7 months ago
Mining Search Engine Clickthrough Log for Matching N-gram Features
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...
CHI
2011
ACM
14 years 1 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
CHI
2007
ACM
15 years 10 months ago
PageLinker: integrating contextual bookmarks within a browser
PageLinker is a browser extension that contextualises navigation by linking web pages together and allows navigation through a network of related web pages without prior planning....
Aurélien Tabard, Wendy E. Mackay, Nicolas R...
KDD
2007
ACM
156views Data Mining» more  KDD 2007»
15 years 10 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...
CIKM
2009
Springer
15 years 4 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 ...