2014/05/13 by Hasnae Rahimi, Rahimi, Hasnae, Hanan El Bakkali +1
Computer Science · Social Sciences · #Access Control and Trust #Computers and Society (cs.CY) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Spam and Phishing Detection
paper · pdf · doi:10.48550/arxiv.1405.3199
openalex publication_date 2014/05/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Robust Trust Reputation Systems (TRS) provide a most trustful reputation score for a specific product or service so as to support relying parties taking the right decision while interacting with an e-commerce application. Thus, TRS must rely on an appropriate architecture and suitable algorithms that are able to improve the selection, storage, generation and classification of textual feedbacks. In this work, we propose a new architecture for TRS in e-commerce applications. In fact, we propose an intelligent layer which displays to each feedback provider, who has already given his recommendation on a product, a collection of prefabricated feedbacks related to the same product. The proposed reputation algorithm generates better trust degree of the user, trust degree of the feedback and a better global reputation score of the product.