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Machine learning / Information retrieval / Numerical analysis / Mathematical optimization / Learning to rank / Natural language processing / Ranking SVM / Simulated annealing / Algorithm / Information science / Mathematics / Science


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Document Date: 2013-04-05 04:39:48

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City

Hyderabad / Santa Clara / /

Company

Microsoft Asia / Artificial Neural Networks / HP / Yahoo! Labs / Z. / /

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Facility

Computer Science University of Illinois / /

IndustryTerm

search engines using clickthrough data / random search / high energy state / search terms / typical Web page / online evaluations / ad server / recent sports news / recent algorithm / online ad serving system / real web documents / Internet / large search space / real advertising serving system / online traffic evaluation / online testing / contextual advertising products / online experiments / online bucket tests / real large-scale advertising serving system / recommender systems / similarity search / advertiser site / online evaluation / content-targeted advertising / offline and online scenarios / stochastic learning-to-rank algorithm / online tests / energy / online performance / search keywords / online and offline scenarios / given Web page / Web popularity / baseline algorithms / contextual advertising / data processing / state-ofthe-art algorithms / parameter search / Web objects / stochastic optimization algorithm / search queries / stochastic algorithm / Online Evaluation We / online traffic / learning-to-rank algorithms / learning-to-rank algorithm / domain-dependent Web objects / feasible solutions / collaborative learning algorithm / learning algorithms / real online applications / /

MarketIndex

LETOR / /

Organization

idf / American Society for Information Science / Chilean Computer Science Society / University of Illinois / A. Foundation / International World Wide Web Conference Committee / NDCG SVM / /

Person

Wei Li / Jangwon Seo / Fernando Diaz / Maryam Karimzadehgan / Wei Chu / W. Xiong / D. Zhang / T. Qin / H. Li / Y. Liu / M. Fontoura / V / Olivier Chapelle / J. Xu / N. Ziviani / B. Ribeiro-Neto / Addison Wesley / Strong / /

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Position

Teller / and E. Teller / vector space model for ad ranking / model for probabilistic weighted retrieval / General / hidden class page-ad probability model for contextual advertising / major Internet companies / Cao / /

Product

Simulated Annealing / /

ProvinceOrState

S. K. / California / /

Technology

existing learning-to-rank algorithms / Simulated Annealing algorithm / Bioinformatics / Annealing algorithm / stochastic algorithm / Simplex algorithm / learning-to-rank algorithms / machine learning / listwise learning-to-rank algorithm / Operating System / NDCG-Annealing algorithm / stochastic optimization algorithm / html / AdaBoost algorithm / Metropolis algorithm / state-ofthe-art algorithms / stochastic learning-to-rank algorithm / baseline algorithms / proposed algorithm / proposed NDCG-Annealing algorithm / DNA Chip / NDCGAnnealing algorithm / boosting algorithm / gene expression / recent algorithm / DOM / proposed method NDCGAnnealing algorithm / 4.1 NDCG-Annealing Algorithm / collaborative learning algorithm / listwise boosting algorithm / /

URL

http /

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