Role-based recommendation and trust evaluation

Yan Wang; Vijay Varadharajan

doi:10.1109/CEC-EEE.2007.83

Role-based recommendation and trust evaluation

Yan Wang^*, Vijay Varadharajan

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

51 Citations (Scopus)

53 Downloads (Pure)

Abstract

In general, in most trust evaluation systems, the evaluation of a target party under investigation relies on the trust ratings from responding peers/parties who have direct interactions with the target party. This involves recommendations and the trust evaluation on recommendations. The evaluation on the recommendations by the recommendation receiver depends on a few factors, which include the roles of the recommender in the domain of the target being recommended, the recognition of these roles by the recommendation receiver, and the recommendation reputation (trust) of the recommender. In this paper, we propose a novel role-based recommendation and trust evaluation framework (RBRTE), which takes the above factors into account.

Original language	English
Title of host publication	Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
Editors	Bob Werner, Deeber Azada
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	278-285
Number of pages	8
ISBN (Print)	0769529135, 9780769529134
DOIs	https://doi.org/10.1109/CEC-EEE.2007.83
Publication status	Published - 2007
Event	9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 - Tokyo, Japan Duration: 23 Jul 2007 → 26 Jul 2007

Other

Other	9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
Country/Territory	Japan
City	Tokyo
Period	23/07/07 → 26/07/07

Bibliographical note

Copyright 2007 IEEE. Reprinted from Proceedings of the 9th IEEE international conference on e-commerce technology and the 4th IEEE international conference on enterprise computing, e-commerce and e-services (CEC-EEE 2007). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie Universityâ€™s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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Wang, Y., & Varadharajan, V. (2007). Role-based recommendation and trust evaluation. In B. Werner, & D. Azada (Eds.), Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 (pp. 278-285). Article 4285225 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC-EEE.2007.83

Wang, Yan ; Varadharajan, Vijay. / Role-based recommendation and trust evaluation. Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. editor / Bob Werner ; Deeber Azada. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2007. pp. 278-285

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note = "Copyright 2007 IEEE. Reprinted from Proceedings of the 9th IEEE international conference on e-commerce technology and the 4th IEEE international conference on enterprise computing, e-commerce and e-services (CEC-EEE 2007). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University{\^a}€{\texttrademark}s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.; 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 ; Conference date: 23-07-2007 Through 26-07-2007",

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Wang, Y & Varadharajan, V 2007, Role-based recommendation and trust evaluation. in B Werner & D Azada (eds), Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007., 4285225, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 278-285, 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007, Tokyo, Japan, 23/07/07. https://doi.org/10.1109/CEC-EEE.2007.83

Role-based recommendation and trust evaluation. / Wang, Yan ; Varadharajan, Vijay.
Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. ed. / Bob Werner; Deeber Azada. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 278-285 4285225.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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N1 - Copyright 2007 IEEE. Reprinted from Proceedings of the 9th IEEE international conference on e-commerce technology and the 4th IEEE international conference on enterprise computing, e-commerce and e-services (CEC-EEE 2007). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie Universityâ€™s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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N2 - In general, in most trust evaluation systems, the evaluation of a target party under investigation relies on the trust ratings from responding peers/parties who have direct interactions with the target party. This involves recommendations and the trust evaluation on recommendations. The evaluation on the recommendations by the recommendation receiver depends on a few factors, which include the roles of the recommender in the domain of the target being recommended, the recognition of these roles by the recommendation receiver, and the recommendation reputation (trust) of the recommender. In this paper, we propose a novel role-based recommendation and trust evaluation framework (RBRTE), which takes the above factors into account.

AB - In general, in most trust evaluation systems, the evaluation of a target party under investigation relies on the trust ratings from responding peers/parties who have direct interactions with the target party. This involves recommendations and the trust evaluation on recommendations. The evaluation on the recommendations by the recommendation receiver depends on a few factors, which include the roles of the recommender in the domain of the target being recommended, the recognition of these roles by the recommendation receiver, and the recommendation reputation (trust) of the recommender. In this paper, we propose a novel role-based recommendation and trust evaluation framework (RBRTE), which takes the above factors into account.

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ER -

Wang Y , Varadharajan V. Role-based recommendation and trust evaluation. In Werner B, Azada D, editors, Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2007. p. 278-285. 4285225 doi: 10.1109/CEC-EEE.2007.83

Role-based recommendation and trust evaluation

Abstract

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