Acquisition and maintenance of knowledge for online navigation suggestions

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

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The Internet has become an important medium for effective marketing and efficient operations for many institutions. Visitors of a particular web site leave behind valuable information on their preferences, requirements, and demands regarding the offered products and/or services. Understanding these requirements online, i.e., during a particular visit, is both a difficult technical challenge and a tremendous business opportunity. Web sites that can provide effective online navigation suggestions to their visitors can exploit the potential inherent in the data such visits generate every day. However, identifying, collecting, and maintaining the necessary knowledge that navigation suggestions are based on is far from trivial. We propose a methodology for acquiring and maintaining this knowledge efficiently using data mart and web mining technology. Its effectiveness has been shown in an application for a bank's web site.

Original languageEnglish
Pages (from-to)993-1002
Number of pages10
JournalIEICE Transactions on Information and Systems
VolumeE88-D
Issue number5
DOIs
Publication statusPublished - 2005

Keywords

  • Data mart
  • Knowledge discovery in data bases
  • Online suggestions
  • Web mining

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Acquisition and maintenance of knowledge for online navigation suggestions'. Together they form a unique fingerprint.

Cite this