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WWW
2008
ACM
14 years 6 months ago
Defection detection: predicting search engine switching
Searchers have a choice about which Web search engine they use when looking for information online. If they are unsuccessful on one engine, users may switch to a different engine ...
Allison P. Heath, Ryen W. White
SIGIR
2012
ACM
11 years 7 months ago
Search, interrupted: understanding and predicting search task continuation
Many important search tasks require multiple search sessions to complete. Tasks such as travel planning, large purchases, or job searches can span hours, days, or even weeks. Inev...
Eugene Agichtein, Ryen W. White, Susan T. Dumais, ...
WWW
2010
ACM
13 years 12 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 3 days ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
SIGIR
2008
ACM
13 years 5 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