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

研究成果: Article査読

29 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号1614090
ページ(範囲)53-57
ページ数5
ジャーナルInternational Journal of Web Information Systems
1
1
DOI
出版ステータスPublished - 2005

ASJC Scopus subject areas

  • 情報システム
  • コンピュータ ネットワークおよび通信

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