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Towards the identification of keywords in the web site text content: A methodological approach

Juan D. Velásquez (Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan)
Sebastían A. Ríos (Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan)
Alejandro Bassi (Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan)
Hiroshi Yasuda (Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan)
Terumasa Aoki (Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 1 February 2005

300

Abstract

Since the creation of the web, the designers are looking for friendlier ways of make web page contents, which pictures, sounds, movies and free texts attract the users’ interest. Special attention receive the text content, because is the most frequently parameter used to retrieve information from the web. A simple way in order to understand the user’s text preferences, could be collect the words used in a searching. However, this information is only well‐know for the owner of the specific searching engine. In this paper we introduce a methodology in order to extract the most interest words for a user in a particular web site, based of the user browsing behavior and the web page text content. The methodology was tested using data originated in a bank web site showing the effectiveness of our approach.

Keywords

Citation

Velásquez, J.D., Ríos, S.A., Bassi, A., Yasuda, H. and Aoki, T. (2005), "Towards the identification of keywords in the web site text content: A methodological approach", International Journal of Web Information Systems, Vol. 1 No. 1, pp. 53-57. https://doi.org/10.1108/17440080580000083

Publisher

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Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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