Improving Web site content using a concept-based knowledge discovery process

Sebastián A. Ríos, Juan D. Velasquez, Eduardo S. Vera, Hiroshi Yasuda, Terumasa Aoki

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

3 Citations (Scopus)

Abstract

Nowadays many organizations and enterprises have a web site to help accomplish several business goals from sales to customer support. A very important activity for today's managers is how to improve the experience of visitors in their web site and make it more effective. Several techniques that use knowledge from visitors' browsing behavior have shown good results to perform such task. However, how to introduce semantics into web usage mining techniques is still a challenge. This work presents a way to obtain a semantic classification of visitors' sessions using a conceptual mining process. We performed experiments in a real web site.

Original languageEnglish
Title of host publicationProceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06
Pages361-365
Number of pages5
DOIs
Publication statusPublished - 2007 Dec 1
Event2006 IEEE/WIC/ACM International Conference on Web Intelligence, WI'06 - Hong Kong, China
Duration: 2006 Dec 182006 Dec 22

Publication series

NameProceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06

Other

Other2006 IEEE/WIC/ACM International Conference on Web Intelligence, WI'06
CountryChina
CityHong Kong
Period06/12/1806/12/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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