Summary of Integration Of Policy and Reputation Based Trust Mechanisms in E-commerce Industry, by Muhammad Yasir Siddiqui et al.
Integration of Policy and Reputation based Trust Mechanisms in e-Commerce Industry
by Muhammad Yasir Siddiqui, Alam Gir
First submitted to arxiv on: 19 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Multimedia (cs.MM); Social and Information Networks (cs.SI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes an integrated trust mechanism to enhance buyer-seller transactions in the competitive e-commerce industry. It explores two existing approaches: policy-based trust mechanisms, which rely on digital credentials and rules, and reputation-based trust mechanisms, which use reputation and points systems. The study analyzes the strengths and weaknesses of these approaches and recommends a mapping process to integrate them. This integrated model is then presented and illustrated with real-world e-commerce industry applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper tries to solve the problem of building trust between buyers and sellers in e-commerce. It looks at two ways people do this now: one is like a rule book, where digital credentials are used, and the other is based on how well people behave. The study shows that these approaches have their own strengths and weaknesses. To make them work better together, it suggests creating a new system that combines the best parts of both. |
