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» Personalized Click Prediction in Sponsored Search
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KDD
2010
ACM
190views Data Mining» more  KDD 2010»
13 years 9 months ago
User browsing models: relevance versus examination
There has been considerable work on user browsing models for search engine results, both organic and sponsored. The click-through rate (CTR) of a result is the product of the prob...
Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl ...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
13 years 12 months 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
2010
ACM
13 years 9 months ago
Estimating advertisability of tail queries for sponsored search
Sponsored search is one of the major sources of revenue for search engines on the World Wide Web. It has been observed that while showing ads for every query maximizes shortterm r...
Sandeep Pandey, Kunal Punera, Marcus Fontoura, Van...
NIPS
2007
13 years 6 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
CIKM
2007
Springer
13 years 11 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza