CROct 27, 2017

State of the art of Trust and Reputation Systems in E-Commerce Context

arXiv:1710.10061v18 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental survey that synthesizes existing literature to help researchers and practitioners in e-commerce understand the maturity and effectiveness of TRS.

The authors conducted a comparative study of popular Trust and Reputation Systems (TRS) in e-commerce, analyzing them based on trustworthiness criteria such as utility, usability, performance, and effectiveness, and provided a summary table for detailed comparison.

This article proposes in depth comparative study of the most popular, used and analyzed Trust and Reputation System (TRS) according to the trust and reputation literature and in terms of specific trustworthiness criteria. This survey is realized relying on a selection of trustworthiness criteria that analyze and evaluate the maturity and effectiveness of TRS. These criteria describe the utility, the usability, the performance and the effectiveness of the TRS. We also provide a summary table of the compared TRS within a detailed and granular selection of trust and reputation aspects.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes