| Document Date: 2014-06-01 22:25:29
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City Paris / Toronto / / Company MIT Press / Google / Pearson / Defining Bounce Rate / / Continent Asia / / Country France / / Currency USD / / / IndustryTerm advertising return / search engine user / sponsored search systems / sponsored search advertising / web users / algorithmic search results / advertising using web relevance feedback / sponsored search setting / search logs / web search result preferences / computational advertising / dot product / search result / internet search engine / content-targeted advertising / sponsored search advertisements / search settings / advertising campaigns / advertising effectiveness / online advertisement / Sparse online learning / sponsored search / re-rank search results / contextual advertising / web search results / post-search user behavior / search engine users / search engines / sponsored search advertisement / ad search / web search / search query / search ads / search engine / sexiest web metric / search advertising / search results / learning algorithm / / OperatingSystem Pegasos / / Organization MIT / IDF / CIAR Summer School / American Society of Information Science / / Person Josh Herbach / D. Metzler / V / Avinash Kaushik / Brien / Diane Tang / Daryl Pregibon / Vinay Chaudhary / M. Fontoura / V / Andrew Moore / Ashish Agarwal / M. Ciaramita / V / Shannon Redundancy / Sridhar Ramaswamy / Shannon Redundancy Keyword / E. Gabrilovich / V / Robert Malkin / / Position Applications General / Y. Singer / and N. Srebro / tax accountant / / ProgrammingLanguage Occam / / PublishedMedium Machine Learning / / Region continental Europe / / Technology RAM / machine translation / search engine / Machine Learning / Pegasos algorithm / Stochastic Approximation Algorithms / / URL http /
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Predicting Bounce Rates in Sponsored Search Advertisements D. Sculley, Robert Malkin, Sugato Basu, Roberto J. Bayardo Google, Inc. {dsculley, rgm, sugato}@google.com,