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Towards a trust,reputation and recommendation meta model
Affiliation:1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Via Orabona, 4 70125 Bari, Italy;2. Dipartimento di Informatica, Sapienza Università di Roma, Viale Regina Elena, 295 00161 Roma, Italy;3. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano P.zza L. da Vinci, 32 201233 Milano, Italy;1. School of Software, Central South University, Changsha, China;2. School of Information Science and Engineering, Hunan International Economics University, Changsha, China;1. Dpto. de Ingeniería y Tecnología de Computadores, Universidad de Murcia, Spain;2. Manouba University, ISAMM, Tunisia;3. University of Tunis El Manar, ENIT–LAMSIN, Tunisia
Abstract:New trust, reputation and recommendation (TRR) models are continuously proposed. However, the existing models lack shared bases and goals. For this reason, in this work we define an innovative meta model to facilitate the definition and standardization of a generic TRR model. Following the meta model, researchers in the field will be able to define standard models, compare them with other models and reuse parts of them. A standardization is also needed to determine which properties should be present in a TRR model.In accordance with the objectives we were seeking, following our meta model, we have defined a pre-standardized TRR model for e-commerce, identified the fundamental concepts and the main features that contribute to form trust and reputation in that domain, respected the dependence on the context/role of trust and reputation, aggregated only homogeneous trust information; listed and shown how to defend from the main malicious attacks.
Keywords:Trust  reputation and recommendation model  Meta model  Malicious attacks  Context/role sensitivity  Main features of trust  Homogeneous trust information
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