Acquiring knowledge about user's preferences in a web site

Juan D. Velásquez, Hiroshi Yasuda, Terumasa Aoki, Richard Weber

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

8 Citations (Scopus)

Abstract

Acquiring knowledge about user preferences in a web site can be the key for continuous improvement of the site. A way to obtain it consists in understanding the user's browsing behavior, analyzing the web log files with data mining techniques. From the set of possible variables that contain information on the visitors behavior, two have been selected: the time spent on each visited page and the respective page content which is based on the importance of each word in a page. We propose an importance measure that considers additionally if visitors search for a specific word. With this information, a new similarity between user sessions is defined. This similarity can be applied in any clustering algorithm in order to cluster similar user sessions. Using a self-organizing feature map we cluster sessions on a certain web site. The respective results gave very important insights regarding visitors behavior and preferences and prompted the reconfiguration of the web site.

Original languageEnglish
Title of host publicationProceedings, ITRE 2003 - International Conference on Information Technology
Subtitle of host publicationResearch and Education
Pages375-379
Number of pages5
DOIs
Publication statusPublished - 2003 Dec 1
Event2003 International Conference on Information Technology: Research and Education, ITRE 2003 - Newark, NJ, United States
Duration: 2003 Aug 112003 Aug 13

Publication series

NameProceedings, ITRE 2003 - International Conference on Information Technology: Research and Education

Other

Other2003 International Conference on Information Technology: Research and Education, ITRE 2003
CountryUnited States
CityNewark, NJ
Period03/8/1103/8/13

ASJC Scopus subject areas

  • Information Systems
  • Education

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