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Modeling agent trustworthiness with credibility for message recommendation in social networks

Published: 05 May 2014 Publication History

Abstract

This paper presents a framework for multiagent systems trust modeling that reasons about both user credibility and user similarity. Through simulation, we are able to show that our approach works well in social networking environments by presenting messages to users with high predicted benefit.

References

[1]
J. Champaign, J. Zhang, and R. Cohen. Coping with poor advice from peers in peer-based intelligent tutoring: The case of avoiding bad annotations of learning objects. In Proceedings of User Modeling, Adaptation and Personalization, pages 38--49, 2011.
[2]
J. Zhang and R. Cohen. Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach. Electronic Commerce Research and Applications, pages 330--340, 2008.

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  1. Modeling agent trustworthiness with credibility for message recommendation in social networks

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    Published In

    cover image ACM Other conferences
    AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems
    May 2014
    1774 pages
    ISBN:9781450327381

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    • IFAAMAS

    In-Cooperation

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 05 May 2014

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    Author Tags

    1. credibility
    2. recommending messages
    3. trust modeling

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    AAMAS '14 Paper Acceptance Rate 169 of 709 submissions, 24%;
    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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