Recommendation of location-based services based on composite measures of trust degree

Weimin Li, Mengke Yao, Xiaokang Zhou, Shoji Nishimura, Qun Jin

    Research output: Contribution to journalArticle

    7 Citations (Scopus)

    Abstract

    As more and more users use the mobile terminals of high computing power, the location-based services (LBS) recommendations for mobile users have become an important and interesting topic. Mobile users are eager to get their interested and reliable services quickly. A considerable number of research works have been dedicated to service recommendation based on users’ preferences and locations. In this paper, we study the credibility of recommended services, and propose a set of composite measures on how to provide more reliable services. We further propose the trustworthy Skyline of LBS recommendation in terms of the trust degree based on the newly introduced composite measures to achieve more credibility to provide recommendation services. Experimental results show that our method can recommend desired and trusted services to users.

    Original languageEnglish
    Pages (from-to)1154-1165
    Number of pages12
    JournalJournal of Supercomputing
    Volume69
    Issue number3
    DOIs
    Publication statusPublished - 2014

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    Keywords

    • Credibility
    • Location-based services (LBS)
    • Recommendation
    • Skyline

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Software
    • Information Systems
    • Theoretical Computer Science

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