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

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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.

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Acknowledgments

This work has been supported by the National Natural Science Foundation of China (NSFC) under Grant No. 71061001 and No. 71061005/G0112, Japan Society for the Promotion of Science (JSPS), China Jiliang University, and Shanghai Leading Academic Discipline Project (Project Number: J50103).

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Authors and Affiliations

  1. School of Computer Engineering and Technology, Shanghai University, Shanghai, China

    Weimin Li & Mengke Yao

  2. Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan

    Weimin Li, Xiaokang Zhou, Shoji Nishimura & Qun Jin

  3. College of Information Engineering, China Jiliang University, Hangzhou, China

    Qun Jin

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  1. Weimin Li
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  2. Mengke Yao
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  3. Xiaokang Zhou
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  4. Shoji Nishimura
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  5. Qun Jin
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Correspondence to Qun Jin.

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Li, W., Yao, M., Zhou, X. et al. Recommendation of location-based services based on composite measures of trust degree. J Supercomput 69, 1154–1165 (2014). https://doi.org/10.1007/s11227-014-1084-2

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  • DOI: https://doi.org/10.1007/s11227-014-1084-2

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