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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages123-133
    Number of pages11
    Volume4181 LNCS
    Publication statusPublished - 2006
    Event5th International Conference on Web Based Learning, ICWL 2006 - Penang
    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)03029743
    ISSN (Electronic)16113349

    Other

    Other5th International Conference on Web Based Learning, ICWL 2006
    CityPenang
    Period06/7/1906/7/21

    Fingerprint

    Relevance Feedback
    Information Storage and Retrieval
    Electronic Learning
    Information retrieval
    Information Retrieval
    Learning
    Feedback
    Internet
    Search Engine
    Search engines
    Black Box
    Access Control
    Access control
    World Wide Web
    Model
    Ranking
    Complement
    Internal
    Industry

    Keywords

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

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Chan, S. S. M., & Jin, Q. (2006). Collaboratively shared information retrieval model for e-Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4181 LNCS, pp. 123-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4181 LNCS).

    Collaboratively shared information retrieval model for e-Learning. / Chan, Shermann S M; Jin, Qun.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4181 LNCS 2006. p. 123-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4181 LNCS).

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

    Chan, SSM & Jin, Q 2006, Collaboratively shared information retrieval model for e-Learning. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4181 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4181 LNCS, pp. 123-133, 5th International Conference on Web Based Learning, ICWL 2006, Penang, 06/7/19.
    Chan SSM, Jin Q. Collaboratively shared information retrieval model for e-Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4181 LNCS. 2006. p. 123-133. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    Chan, Shermann S M ; Jin, Qun. / Collaboratively shared information retrieval model for e-Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4181 LNCS 2006. pp. 123-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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