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» Modeling and predicting user behavior in sponsored search
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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
13 years 11 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
WSDM
2010
ACM
236views Data Mining» more  WSDM 2010»
14 years 1 months ago
Personalized Click Prediction in Sponsored Search
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...
Erick Cantú-Paz, Haibin Cheng
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
14 years 1 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
WINE
2007
Springer
140views Economy» more  WINE 2007»
13 years 10 months ago
Empirical Price Modeling for Sponsored Search
We present a characterization of empirical price data from sponsored search auctions. We show that simple models drawing bid values independently from a fixed distribution can be...
Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Ga...
KDD
2010
ACM
190views Data Mining» more  KDD 2010»
13 years 8 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 ...