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Learning to rank / Okapi BM25 / BM25 / Tf*idf / Precision and recall / Relevance / Loss function / Search engine indexing / XML / Information science / Information retrieval / Science


ListBM: A Learning-to-Rank Method for XML Keyword Search Ning Gao, Zhi-Hong Deng, Yong-Qing Xiang, and Yu Hang Key Laboratory of Machine Perception (Ministry of Education) School of Electronic Engineering and Computer Sc
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Document Date: 2014-09-16 17:44:09


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File Size: 246,61 KB

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City

L.A. / /

Company

ICANN / Microsoft / Yu Hang Key Laboratory / /

Country

China / /

/

Facility

University of Waterloo / Yu Hang Key Laboratory of Machine Perception / Peking University / /

IndustryTerm

search performance / machine learning algorithms / search result list / Web search / learning-to-rank algorithms / search results / on using machine learning algorithms / /

Organization

Peking University / National Natural Science Foundation of China / School of Electronic Engineering and Computer Science / IDF / University of Waterloo / Ministry of Education / /

Person

Yong-Qing Xiang / Zhi-Hong Deng / /

Position

Singer / Cao / /

Product

BM25 / /

ProgrammingLanguage

Hoc / XML / C++ / /

Technology

XML / learning-to-rank algorithms / machine learning / using machine learning algorithms / /

URL

http /

SocialTag