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Hidden Conditional Random Fields with Distributed User Embeddings for Ad Targeting Nemanja Djuric, Vladan Radosavljevic, Mihajlo Grbovic, Narayan Bhamidipati Yahoo Labs 701 First Avenue, Sunnyvale, CA 94089, USA e-mail:
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Document Date: 2014-12-18 04:32:42


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City

Sunnyvale / /

Company

Nike / MIT Press / Google / Facebook / T. Sarl / Yahoo / Narayan Bhamidipati Yahoo Labs / /

Country

United States / /

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Holiday

halloween / /

IndustryTerm

web users / user web navigation sessions / sponsored search ads / online advertising / online behavior / internet / targeted advertising problems / online sessions / user online sessions / data mining / online targeting industry / follow-up search / online advertising industry / advertising campaigns / online users / real-world applications / online campaign / poor online experience / sponsored search / online industry worth billions / online action / improved online user experience / search links / behavioral targeting help online advertising / search queries / online user / search query / online actions / targeted advertising / advertising campaign / search engine / user online behavior / search advertising / learning algorithms / /

Organization

MIT / National Basketball Association / American Society for Information Science and Technology / /

Person

M. Aly / V / Fig / A. Competing / /

Position

softballs leathet stripe shortstop / announcer / scarve aau trukfit goalie / maddon hershiser griffey fungo scorecards shortstop / outfielder / clicker model / pitcher / fullbacks / baseman / goalie / goalkeeper / coach / browser model / catcher / /

Product

iphone / /

ProvinceOrState

California / /

Region

patagonia / /

SportsEvent

handball ncaa / nba / nhl / mlb / /

Technology

adc / remote sensing / Viterbi algorithm / search engine / machine learning / Natural Language Processing / artificial intelligence / competing algorithms / data mining / gesture recognition / /

URL

www.run.montefiore.ulg.ac.be/∼francois/software/jahmm / /

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