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Search Engines: Applications of ML

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Encyclopedia of Machine Learning and Data Mining

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Abstract

The general structure of a search engine is described. An overview of those information retrieval methods that are relevant to web search in that they take the existence of hyperlinks between documents into account, is provided. A suggested classification of web queries as either navigational, transactional, or informational has been suggested. More generally, a good understanding of users’ needs and practice allows for query rewriting or for redirection to domain-specific databases.

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Author information

Authors and Affiliations

  1. University of New South Wales, Sydney, NSW, Australia

    Eric Martin

Authors
  1. Eric Martin
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Correspondence to Eric Martin .

Editor information

Editors and Affiliations

  1. The University of New South Wales, Sydney, NSW, Australia

    Claude Sammut

  2. Faculty of Information Technology, Monash University, Melbourne, VIC, Australia

    Geoffrey I. Webb

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Martin, E. (2017). Search Engines: Applications of ML. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_750

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