A Short Introduction to Learning to Rank

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抄録

Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in Information Retrieval, Natural Language Processing, and Data Mining. Intensive studies have been conducted on the problem and significant progress has been made[1],[2]. This short paper gives an introduction to learning to rank, and it specifically explains the fundamental problems, existing approaches, and future work of learning to rank. Several learning to rank methods using SVM techniques are described in details.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 94(10), 1854-1862, 2011-10-01

    一般社団法人 電子情報通信学会

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各種コード

  • NII論文ID(NAID)
    10030193094
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
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