Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India

Research Article

Implicit Trust Propagation

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  • @INPROCEEDINGS{10.4108/eai.27-2-2020.2303116,
        author={Anuradha  Yadav and Shampa  Chakraverty and Ritu  Sibal},
        title={Implicit Trust Propagation},
        proceedings={Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India},
        publisher={EAI},
        proceedings_a={ICIDSSD},
        year={2021},
        month={3},
        keywords={trust properties implicit trust similarity trust explicit trust propagation},
        doi={10.4108/eai.27-2-2020.2303116}
    }
    
  • Anuradha Yadav
    Shampa Chakraverty
    Ritu Sibal
    Year: 2021
    Implicit Trust Propagation
    ICIDSSD
    EAI
    DOI: 10.4108/eai.27-2-2020.2303116
Anuradha Yadav1,*, Shampa Chakraverty1, Ritu Sibal1
  • 1: Division of Computer Engineering, Netaji Subas Institute of Technology, University of Delhi, India.
*Contact email: yadavnsit@gmail.com

Abstract

The concept of trust plays key role in facilitating interactions and transactions in online systems. It is a major tool for handling information overload in online systems and filtering information by incorporating trust in recommender systems. Network of explicitly trusted users is very sparse. Implicit trust relations can be inferred based on user attributes and behavior. New trust relationships among users can be inferred using trust propagation properties which are not connected by explicit trust to solve the data sparsity problem. Here, we evaluate how effective is indirect implicit trust in predicting the explicit trust using different metrics. We show that indirect implicit trust has relatively higher correlation with rating similarity compared to direct implicit trust. We are able to infer more trust relations using indirect implicit trust as seen from higher recall and coverage values but the accuracy in predicting trust is low compared to direct implicit trust.