Abstract
Trust and reputation mechanisms are often used in peer-to-peer networks, multi-agent systems and online communities for trust-based interactions among the users. Trust values are used to differentiate among members of the community as well as to recommend a service provider. Although different users have different needs and expectations in different aspects of the service providers, traditional trust-based models do not use trust values on neighbors for judging different aspects of service providers. In this paper, we use a multi-faceted trust model where each agent has two sets of trust values: i) trust on different aspects of the quality of service providers, ii) trust on recommendations provided for these aspects. These trust models are used in a decentralized user modeling system where agents have different preference weights in three different criteria of service providers. We have done a simulation of this system that recommends the best possible service provider for each agent according to its preference model. To the best of our knowledge this is the first system that uses multi-faceted trust values both on the qualities of service-providers and on other users’ ability to evaluate these qualities of service providers in a decentralized user modeling system.
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References
Abdul-Rahman, A., Hailes, S.: Supporting trust in virtual communities. In: Proceedings of the Hawaii International Conference on System Sciences, p. 9. IEEE Comput. Soc. (2000)
Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6), 734–749 (2005)
Chatfield, C., Carmichael, D., Hexel, R.: Personalisation in intelligent environments: managing the information flow. In: Proceedings of the 17th Australia Conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future (OZCHI 2005), pp. 1–10. Computer-Human Interaction Special Interest Group (CHISIG) of Australia, Narrabundah (2005)
Dell’Amico, M., Capra, L.: Sofia: Social filtering for robust recommendations. In: Trust Management II, pp. 135–150 (2008)
Erlang Programming Language, http://www.erlang.org/
Fink, J., Kobsa, A.: A review and analysis of commercial user modeling servers for personalization on the world wide web. User Modeling and User-Adapted Interaction 10(2), 209–249 (2000)
Heckmann, D., Schwartz, T., Brandherm, B.: Decentralized user modeling with UserML and GUMO. In: Workshop on Decentralized, Agent Based and Social Approaches to User Modelling (DASUM), 9th Intl Conference on User Modeling, Edinburgh, Scotland, pp. 61–64 (2005)
Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, K.: The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Citeseer, pp. 256–265 (1998)
Kay, J., Kummerfeld, B., Lauder, P.: Personis: A Server for User Models. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 203–212. Springer, Heidelberg (2002)
Kobsa, A.: User Modeling and User-Adapted Interaction, vol. 1, pp. v–viii. Kluwer Academic Publishers (1991); Printed in The Netherlands. Linguistics (1992)
Kobsa, A.: Privacy-Enhanced Web Personalization. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 628–670. Springer, Heidelberg (2007)
Marsh, S.: Formalising Trust as a Computational Concept, Ph.D. Thesis, University of Stirling (1994)
Matsuo, Y., Yamamoto, H.: Community gravity: measuring bidirectional effects by trust and rating on online social networks. In: Proceedings of the 18th International Conference on World Wide Web, pp. 751–760. ACM (2009)
Mui, L., Mohtashemi, M., Halberstadt, A.: A computational model of trust and reputation. In: Proceedings of the 35th Annual Hawaii International Conference on System Sciences, HICSS, pp. 2431–2439. IEEE (2002)
Niu, X., McCalla, G., Vassileva, J.: Purpose-Based Expert Finding in a Portfolio Management System. Computational Intelligence 20(4), 548–561 (2004)
Resnick, P., Zeckhauser, R.: Trust among strangers in Internet transactions: Empirical analysis of eBay’s reputation system. Advances in Applied Microeconomics: A Research Annual 11, 127–157 (2002)
Rich, E.: User modeling via stereotypes. Cognitive Science 3(4), 329–354 (1979)
Rich, E.: Users are individuals: individualizing user models. International Journal of Man-Machine Studies, 199–214 (May 1981) (1983)
Sensoy, M., Zhang, J., Yolum, P., Cohen, R.: Poyraz: Context-aware service selection under deception. Computational Intelligence 25(4), 335–366 (2009)
Shoham, Y., Balabanovic, M.: Fab: Content-Based, Collaborative Recommendation. Communications of the ACM 40(3), 66–72 (1997)
Sleeman, D.: UMFE: a user modelling front-end subsystem. Int. J. Man-Mach. Stud. 23(1), 71–88 (1985)
Social Network Generation, http://www.infovis-wiki.net/index.php/Social_Network_Generation
Vassileva, J.: A Classification and Synthesis of Student Modelling Techniques in Intelligent Computer-Assisted Instruction. In: Norrie, D.H., Six, H.-W. (eds.) ICCAL 1990. LNCS, vol. 438, pp. 202–213. Springer, Heidelberg (1990)
Vassileva, J.I., Greer, J.E., McCalla, G.I.: Openness and Disclosure in Multi-agent Learner Models. In: Proceedings of Workshop on Open, Interactive, and Other Overt Approaches to Learner Modelling, International Conference on AIED, Le Mans, France, pp. 43–49 (1999)
Villano, M.: Probabilistic student models: Bayesian belief networks and knowledge space theory. In: Intelligent Tutoring Systems, pp. 491–498. Springer, Heidelberg (1992)
Wang, Y., Vassileva, J.: Trust and reputation model in peer-to-peer networks. In: Proceedings Third International Conference on Peer-to-Peer Computing (P2P 2003), pp. 150–157 (2003)
Wang, Y., Vassileva, J.: Bayesian network-based trust model. In: IEEE/WIC International Conference on Web Intelligence, WI 2003, pp. 372–378. IEEE (2003)
Wang, Y., Vassileva, J.: Trust-based community formation in peer-to-peer file sharing networks. In: Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 341–348. IEEE Computer Society (2004)
Yimam-Seid, D., Kobsa, A.: Expert-Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach. Journal of Organizational Computing and Electronic Commerce 13(1), 1–24 (2003)
Yu, B., Singh, M.P.: A Social Mechanism of Reputation Management in Electronic Communities. In: Klusch, M., Kerschberg, L. (eds.) CIA 2000. LNCS (LNAI), vol. 1860, pp. 154–165. Springer, Heidelberg (2000)
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Nusrat, S., Vassileva, J. (2012). Recommending Services in a Trust-Based Decentralized User Modeling System. In: Ardissono, L., Kuflik, T. (eds) Advances in User Modeling. UMAP 2011. Lecture Notes in Computer Science, vol 7138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28509-7_22
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DOI: https://doi.org/10.1007/978-3-642-28509-7_22
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