Collaboratively shared information retrieval model for e-Learning

Shermann S.M. Chan, Qun Jin

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

4 Citations (Scopus)

Abstract

Nowadays, the World Wide Web offers public search services by a number of Internet search engine companies e.g. Google [16], Yahoo! [17], etc. They own their internal ranking algorithms, which may be designed for either general-purpose information and/or specific domains. In order to fight for bigger market share, they have developed advanced tools to facilitate the algorithms through the use of Relevance Feedback (RF) e.g. Google's Toolbar. Experienced by the black-box tests of the RF toolbar, all in all, they can acquire simple and individual RF contribution. As to this point, in this paper, we have proposed a collaboratively shared Information Retrieval (IR) model to complement the conventional IR approach (i.e. objective) with the collaborative user contribution (i.e. subjective). Not only with RF and group relevance judgments, our proposed architecture and mechanisms provide a unified way to handle general purpose textual information (herein, we consider e-Learning related documents) and provide advanced access control features [15] to the overall system.

Original languageEnglish
Title of host publicationAdvances in Web Based Learning
Subtitle of host publicationICWL 2006 - 5th International Conference. Revised Papers
PublisherSpringer Verlag
Pages123-133
Number of pages11
ISBN (Print)3540490272, 9783540490272
Publication statusPublished - 2006 Jan 1
Event5th International Conference on Web Based Learning, ICWL 2006 - Penang, Malaysia
Duration: 2006 Jul 192006 Jul 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4181 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Web Based Learning, ICWL 2006
CountryMalaysia
CityPenang
Period06/7/1906/7/21

Keywords

  • Collaborative share
  • Information retrieval
  • Personalized e-Leaming
  • Search engine
  • Subjective index

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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