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

Juan D. Velasquez, Sebastian Rios, Alejandro Bassi, Hiroshi Yasuda, Turumasa Aoki

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


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.

Original languageEnglish
Article number1614090
Pages (from-to)53-57
Number of pages5
JournalInternational Journal of Web Information Systems
Issue number1
Publication statusPublished - 2005


  • Text preferences
  • Web usage mining

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications


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