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» Why we search: visualizing and predicting user behavior
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WWW
2007
ACM
14 years 5 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
SIGIR
2011
ACM
12 years 7 months ago
Why searchers switch: understanding and predicting engine switching rationales
Search engine switching is the voluntary transition between Web search engines. Engine switching can occur for a number of reasons, including user dissatisfaction with search resu...
Qi Guo, Ryen W. White, Yunqiao Zhang, Blake Anders...
WWW
2010
ACM
13 years 11 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
SIGIR
2008
ACM
13 years 4 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
CHI
2005
ACM
14 years 5 months ago
A comparison of LSA, wordNet and PMI-IR for predicting user click behavior
A predictive tool to simulate human visual search behavior would help interface designers inform and validate their design. Such a tool would benefit from a semantic component tha...
Ishwinder Kaur, Anthony J. Hornof