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نمایش تعداد 1-8 از 8

Learning to Rank for Information Retrieval

نوع: Ebook

نویسنده : Tie-Yan Liu

ناشر: Springer

سال: 2011

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Learning to rank for information retrieval

نوع: Ebook

نویسنده : Tie-Yan Liu

ناشر: Now Publishers Inc

سال: 2009

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Learning to rank for information retrieval

نوع: Journal Paper

نویسنده : Tie-Yan Liu

سال: 2010

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Statistical Learning Theory for Ranking

نوع: Journal Paper

نویسنده : Tie-Yan Liu

سال: 2011

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Ranking on large-scale graphs with rich metadata

نوع: Journal Paper

نویسنده : Bin Gao; Taifeng Wang; Tie-Yan Liu

سال: 2011

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Feature selection for ranking

نوع: Journal Paper

نویسنده : Xiubo Geng; Tie-Yan Liu; Tao Qin; Hang Li

سال: 2007

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A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information

نوع: Journal Paper

نویسنده : Wei Wei; Bin Gao; Tie-Yan Liu; Taifeng Wang; Guohui Li; Hang Li

سال: 2016

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Selecting optimal training data for learning to rank

نوع: Journal Paper

نویسنده : Xiubo Geng; Tao Qin; Tie-Yan Liu; Xue-Qi Cheng; Hang Li

سال: 2011

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Learning to Rank for Information Retrieval

Learning to rank for information retrieval

Learning to rank for information retrieval

Statistical Learning Theory for Ranking

Ranking on large-scale graphs with rich metadata

Feature selection for ranking

A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information

Selecting optimal training data for learning to rank

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Learning to Rank for Information Retrieval

Learning to rank for information retrieval

Learning to rank for information retrieval

Statistical Learning Theory for Ranking

Ranking on large-scale graphs with rich metadata

Feature selection for ranking

A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information

Selecting optimal training data for learning to rank