A Computational Distributed Reputation Model for B2C E-commerce

This paper presents a novel and comprehensive reputation metric designed for the distributed reputation system for the Business-to-Consumer (B2C) E-commerce applications. The algorithm offers a comprehensive approach as it considers a number of the parameters that have a bearing on trust and reputation such as age of ratings, transaction value, credibility of referees, as well as number of malicious incidents. Moreover, it also extends the existing frameworks based on information about past behaviour, with other aspects affecting online trading decisions which relate to the characteristic of the providers.