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Web Usage Mining in Search Engines

Ricardo Baeza-Yates

Source Title: Web Mining: Applications and Techniques

ISBN13: 9781591404149|ISBN10: 1591404142|ISBN13 Softcover: 9781591404156|EISBN13: 9781591404163

DOI: 10.4018/978-1-59140-414-9.ch014

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MLA

Baeza-Yates, Ricardo. "Web Usage Mining in Search Engines." Web Mining: Applications and Techniques, edited by Anthony Scime, IGI Global, 2005, pp. 307-321. https://doi.org/10.4018/978-1-59140-414-9.ch014

APA

Baeza-Yates, R. (2005). Web Usage Mining in Search Engines. In A. Scime (Ed.), Web Mining: Applications and Techniques (pp. 307-321). IGI Global. https://doi.org/10.4018/978-1-59140-414-9.ch014

Chicago

Baeza-Yates, Ricardo. "Web Usage Mining in Search Engines." In Web Mining: Applications and Techniques, edited by Anthony Scime, 307-321. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-414-9.ch014

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Abstract

Search engine logs not only keep navigation information, but also the queries made by their users. In particular, queries to a search engine follow a power-law distribution, which is far from uniform. Queries and related clicks can be used to improve the search engine itself in different aspects: user interface, index performance, and answer ranking. In this chapter we present some of the main ideas proposed in query mining and we show a few examples based on real data from a search engine focused on the Chilean Web.

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Web Usage Mining in Search Engines

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