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SIGIR
2006
ACM
14 years 1 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
ACL
2008
13 years 8 months ago
Improving Search Results Quality by Customizing Summary Lengths
Web search engines today typically show results as a list of titles and short snippets that summarize how the retrieved documents are related to the query. However, recent researc...
Michael Kaisser, Marti A. Hearst, John B. Lowe
PERCOM
2005
ACM
14 years 7 months ago
Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model
It is expected that more and more people will search the web when they are on the move. Though conventional search engines can be directly visited from mobile devices with web bro...
Xing Xie, Gengxin Miao, Ruihua Song, Ji-Rong Wen, ...
CVPR
2010
IEEE
14 years 2 months ago
Improving web-image search results using query-relative classifiers
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore...
Josip Krapac, Moray Allan, Jakob Verbeek, Frédér...
IDMS
1998
Springer
76views Multimedia» more  IDMS 1998»
13 years 11 months ago
Exploiting User Behaviour in Prefetching WWW Documents
As the popularity of the World Wide Web increases, the amount of traffic results in major congestion problems for the retrieval of data over wide distances. To react to this, user...
Abdulmotaleb El-Saddik, Carsten Griwodz, Ralf Stei...