Intelligent Web Site: Understanding the Visitor Behavior

Juan D. Velásquez, Pablo A. Estévez, Hiroshi Yasuda, Terumasa Aoki, Eduardo Vera

研究成果: Chapter

6 被引用数 (Scopus)

抄録

Intelligent web site is a new portal generation, able to improve its structure and content based on the analysis of the user behavior. This paper focuses on modeling the visitor behavior, assuming that the only source available is his/her browsing behavior. A framework to acquire and maintain knowledge extracted from web data is introduced. This framework allows to give online recommendations about the navigation steps, as well as offline recommendations for changing the structure and contents of the web site. The proposed methodology is applied to the web site of a commercial bank.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
出版社Springer Verlag
ページ140-147
ページ数8
ISBN(印刷版)9783540301325
DOI
出版ステータスPublished - 2004 1 1

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3213
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント 「Intelligent Web Site: Understanding the Visitor Behavior」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル