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Internet search engines / Search engine optimization / Search engine results page / Eye tracking / Viterbi algorithm / PageRank / Web search query / Relevance feedback / Markov chain / Information science / Information retrieval / Markov models


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Document Date: 2009-12-30 01:34:50


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File Size: 1,51 MB

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City

Madrid / Paris / Vancouver / Amsterdam / Vienna / New York City / San Jose / Seattle / Palo Alto / New York / Laird / Banff / SIGIR‟2008 / Beijing / SIGIR‟2006 / London / Chicago / /

Company

Yahoo / Google / Microsoft / /

Country

Netherlands / France / Canada / United Kingdom / China / Austria / United States / Singapore / Spain / /

Currency

USD / /

Event

Reorganization / /

Facility

Prentice Hall / /

IndustryTerm

search engines using clickthrough data / hinder visual search / use eye tracking devices / web users / search results receiving gaze fixations / eye tracking devices / well known algorithms / typical search log / data mining methods / search log / search logs / web search result preferences / breadth-first processing / important web browsing behavior / finite search space / Web Conference / week long search log / search result page / search sessions / log mining algorithms / noncore search results / iterative algorithms / search result lists / search result positions / web search behaviors / then search advertisements / search engine quality / large scale commercial web search log / clicked search / search log data / massive search log data / search engine click data / search result relevance / dynamic programming algorithms / higher quality search results / web logs / Web search logs / training algorithm / web search service / search users / data mining approach / search session / search log mining / search data / data mining / search result / log mining / search engine result page / context-aware search / search result hovering / search result snippets / search log instrumentation / search behavior / unobservable search behaviors / search behaviors / forwardbackward algorithm / eye-tracking devices / online search / online recruitment environment / search intents / web page advertisements / Web search engine / search engines / gradient descent algorithm / news search / web search clickthrough data / web scale / well known forward-backward algorithm / web search / skip search results / search engine brand / web page viewing behavior / search engine / search results / search engine query log / search browsing / /

Organization

U.S. Securities and Exchange Commission / Royal Statistical Society / American Society for Information Science and Technology / Pattern Analysis and Machine Intelligence / /

Person

Nick Craswell / Peter Bailey / Bill Ramsey / Paul Hsu / Filip Radlinski / Bryan Sera / Fritz Behr / Alex Acero / Toby Walker / Ralph Herbrich / Bob Jenkins / Wang Nikolas Gloy Xiaolong Li / Zijian Zheng / Harry Shum / Jingren Zhou / /

Position

Markov model for simplicity / model to the analysis / General / tackle / representative for the general population / ACKNOWLEDGMENTS Bin Cao / dynamic Bayesian network click model for web search ranking / Model / Rafter / Cao / /

ProgrammingLanguage

ML / /

ProvinceOrState

British Columbia / New York / Washington / New Mexico / California / New Jersey / Illinois / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of the Royal Statistical Society / /

Technology

iterative algorithms / Viterbi algorithm / gradient descent algorithm / log mining algorithms / EM algorithm / well known forward-backward algorithm / segmental Viterbi algorithm / well known algorithms / forwardbackward algorithm / speech recognition / search engine / machine learning / Terms Algorithms / dynamic programming algorithms / data mining / paging / using the well known forward-backward algorithm / /

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