Filtering out unfair recommendations for trust model in ubiquitous environments

Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young Koo Lee, Heejo Lee

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

    4 Citations (Scopus)

    Abstract

    This paper presents a novel context-based approach to filter out unfair recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the user’s activity, state and intention. Incremental learning based neural network is used to dispose the context in order to find doubtful recommendations. This approach has distinct advantages when dealing with randomly given irresponsible recommendations, individual unfair recommendations as well as unfair recommendations flooding.

    Original languageEnglish
    Title of host publicationInformation Systems Security - 2nd International Conference, ICISS 2006, Proceedings
    EditorsAditya Bagchi, Vijayalakshmi Atluri
    PublisherSpringer Verlag
    Pages357-360
    Number of pages4
    ISBN (Print)9783540689621
    DOIs
    Publication statusPublished - 2006
    Event2nd International Conference on Information Systems Security, ICISS 2006 - Kolkata, India
    Duration: 2006 Dec 192006 Dec 21

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4332 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other2nd International Conference on Information Systems Security, ICISS 2006
    Country/TerritoryIndia
    CityKolkata
    Period06/12/1906/12/21

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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