Contextual search : a computational framework

著者

    • Melucci, Massimo

書誌事項

Contextual search : a computational framework

Massimo Melucci

(Foundations and trends in information retrieval, 6:4-5)

Now Publishers, c2012

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注記

"This book is originally published as Foundations and trends in information retrieval, volume 6, issues 4-5 (2012), ISSN: 1554-0669"--Back cover

Includes bibliographical references (p. 135-152)

内容説明・目次

内容説明

The growing availability of data in electronic form, the expansion of the World Wide Web and the accessibility of computational methods for large-scale data processing have allowed researchers in Information Retrieval (IR) to design systems which can effectively and efficiently constrain search within the boundaries given by context, thus transforming classical search into contextual search. Contextual Search introduces contextual search within a computational framework based on contextual variables, contextual factors and statistical models. It describes how statistical models can process contextual variables to infer the contextual factors underlying the current search context. It also provides background to the subject by: Placing it among other surveys on relevance, interaction, context, and behaviour. Providing a description of the contextual variables used for implementing the statistical models which represent and predict relevance and contextual factors Providing an overview of the evaluation methodologies and findings relevant to this subject. Contextual Search is a highly recommended read, both for beginners who are embarking on research in this area and as a useful reference for established IR researchers.

目次

1: Introduction 2: Query Intent 3: Personal Interest 4: Document Quality 5: Contextual Search Evaluation 6: Conclusions. Acknowledgements. References. A. Implementations

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詳細情報

  • NII書誌ID(NCID)
    BB17241341
  • ISBN
    • 9781601986009
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Hanover, Mass.
  • ページ数/冊数
    ix, 152 p.
  • 大きさ
    24 cm
  • 親書誌ID
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