Abstract

Our research is within the subfield of modeling trust and reputation in multi-agent systems for online communities. Specifically, in an online community involving users and entities, users provide opinions (ratings) to entities. For each user, we are interested in addressing two problems: (1) how to accurately model the reputation of entities by aggregating opinions from all the users (advisors); and (2) how to cope with the dishonesty of an advisor in providing opinions as well as her subjectivity difference with the user.

Abstract

Trust Modeling for Opinion Evaluation by Coping with Subjectivity and Dishonesty / 3211 Hui Fang Our research is within the subfield of modeling trust and reputation in multi-agent systems for online communities. Specifically, in an online community involving users and entities, users provide opinions (ratings) to entities. For each user, we are interested in addressing two problems: (1) how to accurately model the reputation of entities by aggregating opinions from all the users (advisors); and (2) how to cope with the dishonesty of an advisor in providing opinions as well as her subjectivity difference with the user.

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