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» Predicting user satisfaction from subject satisfaction
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SIGIR
2008
ACM
14 years 11 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
RECSYS
2010
ACM
14 years 11 months ago
Eye-tracking product recommenders' usage
Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However...
Sylvain Castagnos, Nicolas Jones, Pearl Pu
FQAS
2006
Springer
186views Database» more  FQAS 2006»
15 years 2 months ago
Query Phrase Suggestion from Topically Tagged Session Logs
Searchers' difficulty in formulating effective queries for their information needs is well known. Analysis of search session logs shows that users often pose short, vague quer...
Eric C. Jensen, Steven M. Beitzel, Abdur Chowdhury...
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ATAL
2003
Springer
15 years 4 months ago
Providing Effective Access to Shared Resources: A COIN Approach
Managers of systems of shared resources typically have many separate goals. Examples are efficient utilization of the resources among its users and ensuring no user’s satisfacti...
Stéphane Airiau, Sandip Sen, David Wolpert,...
ECIR
2009
Springer
15 years 8 months ago
Classifying and Characterizing Query Intent
Understanding the intent underlying user queries may help personalize search results and improve user satisfaction. In this paper, we develop a methodology for using ad clickthroug...
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei...