Testing online navigation recommendations in a web site

Juan D. Velásquez, Vasile Palade

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

Abstract

An online navigation recommendation system provides the prospective web site visitor with a set of pages that could be of his/her interest. Because the recommendations are given during the user session in the web site, it could be very damaging for the overall business of the company owning the web site, if the recommendations are erroneous. In this paper, we introduce an a priori method to estimate the success of an online navigation recommendation. The methodology was tested in a recommendation system that works with the data generated in a real web site, which proved the effectiveness of our approach.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
PublisherSpringer Verlag
Pages487-496
Number of pages10
Volume4253 LNAI - III
ISBN (Print)3540465421, 9783540465423
Publication statusPublished - 2006
Externally publishedYes
Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
Duration: 9 Oct 200611 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4253 LNAI - III
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
Country/TerritoryUnited Kingdom
CityBournemouth
Period9/10/0611/10/06

Bibliographical note

This paper is not available in Pure.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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