Conceptual classification to improve a Web site content

Sebastián A. Ríos, Juan D. Velásquez, Hiroshi Yasuda, Terumasa Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents a conceptual based approach for improving a Web site content. Usually Web Usage Mining (WUM) techniques study the visitors' browsing behavior to obtain interesting knowledge. However, most of the work in the area leave behind the semantic information of web pages. We propose to combine the Concept-Based Knowledge Discovery in Text with the visitors sessions to perform the personalization task. This way, it is possible to obtain information about which are the users' goals when browsing a web site. Moreover, it is possible to give better browsing recomendations and help managers improving the content of their Web site. We test this idea on a real Web site to show its effectiveness.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
PublisherSpringer-Verlag
Pages869-877
Number of pages9
ISBN (Print)3540454853, 9783540454854
Publication statusPublished - 2006 Jan 1
Event7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 - Burgos, Spain
Duration: 2006 Sep 202006 Sep 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4224 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
CountrySpain
CityBurgos
Period06/9/2006/9/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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