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» Modeling and predicting user behavior in sponsored search
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WWW
2011
ACM
13 years 2 months ago
Exploiting session-like behaviors in tag prediction
In social bookmarking systems, existing methods in tag prediction have shown that the performance of prediction can be significantly improved by modeling users’ preferences. Ho...
Dawei Yin, Liangjie Hong, Brian D. Davison
SIGECOM
2010
ACM
140views ECommerce» more  SIGECOM 2010»
14 years 16 days ago
Northern exposure: a field experiment measuring externalities between search advertisements
“North” ads, or sponsored listings appearing just above the organic search results, generate the majority of clicks and revenues for search engines. In this paper, we ask whet...
David H. Reiley, Sai-Ming Li, Randall A. Lewis
CHI
2005
ACM
14 years 8 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
WEBI
2009
Springer
14 years 2 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
WWW
2008
ACM
14 years 8 months ago
Analyzing search engine advertising: firm behavior and cross-selling in electronic markets
The phenomenon of sponsored search advertising is gaining ground as the largest source of revenues for search engines. Firms across different industries have are beginning to adop...
Anindya Ghose, Sha Yang