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Natural language processing / Statistical theory / Search advertising / Bayesian network / Information retrieval / Google Search / Bayesian inference / Prior probability / Graphical model / Statistics / Bayesian statistics / Statistical models


A Novel Click Model and Its Applications to Online Advertising
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Document Date: 2009-12-30 01:48:56

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File Size: 1,82 MB

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Cambridge / Beijing / New York City / /

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A. Infer.NET / Infer.NET / Microsoft Research Asia / Yahoo! / /

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United States / United Kingdom / China / /

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Person Communication and Meetings / /

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Tsinghua University / /

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baseline algorithm / search engines using clickthrough data / web data keeps / important by-products / online advertising / Web Search Result Preferences / search data / web browser / regular search results / Online Advertising Zeyuan Allen Zhu / search dataset / on-line inference calculation / expectation-maximization algorithm / search engine holds / real-time search engine / web documents / Online Information Services / search page / web search results / chain-style network / search engines / search auctions / web search / on-line algorithm / web search data / search engine / search results / /

Movie

W. V / /

OperatingSystem

Linux / /

Organization

DBN GCM / Tsinghua University Beijing / DBN CCM / Department of Physics / /

Person

Allen Zhu / Dakan Wang / Haixun Wang / Zheng Chen / Gang Wang / Click Model / Tom Minka / Algorithm / Matt Callcut / /

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first author / General / model / /

ProgrammingLanguage

C / /

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New York / W. V. / /

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Our algorithm / three algorithms / RAM / baseline algorithm / Linux / search engine / expectation-maximization algorithm / on-line algorithm / /

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http /

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