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Statistics / Science / Learning to rank / Natural language processing / Discounted cumulative gain / Ranking / Web query classification / Algorithm / Support vector machine / Information science / Machine learning / Information retrieval


Learning to Blend Rankings: a Monotonic Transformation to Blend Rankings from Heterogeneous Domains Zhenzhen Kou Yi Chang, Zhaohui Zheng
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Document Date: 2010-08-16 13:40:38


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File Size: 710,35 KB

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City

Toronto / /

Company

Yahoo! / Zhe / /

Country

Canada / /

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Facility

College of Computing Georgia Institute / /

IndustryTerm

search engines using clickthrough data / web documents / main algorithm / monotonic search engines / neural network / web rank list / recent web search applications / web search results / video search / search engines / image search / search engine / search results / blog search / /

Organization

Computing Georgia Institute of Technology Atlanta / /

Person

Zhaohui Zheng / Tao Qin / Ming-Feng Tsai / Zhi-Ming Ma / Ravi Kumar / Yi Chang / Ting Liu / Matt Deeds / Cynthia Dwork / Alex Smola / Chris Burges / Zheng Hongyuan Zha / Taesup Moon / Yan Liu / Ari Lazier / Nicole Hamilton / Erin Renshaw / Tal Shaked / Greg Hullender / /

Position

Learning General / Cao / /

ProvinceOrState

Ontario / /

PublishedMedium

Machine Learning / /

Technology

main algorithm / neural network / proposed algorithm / boosting algorithm / 3.1 Our algorithm / search engine / machine learning / blending algorithm / /

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