A Recommendation Scheme with Reputation-Based Incentive Mechanism on Consortium Blockchain

Abstract

Aiming at the problem of privacy leakage and lack of trust in centralized recommendation system architecture, we propose a recommendation scheme with reputation-based incentive mechanism on consortium blockchain, which uses the auditable and transparent feature of consortium blockchain to enhance the credibility of the recommendation system. Multiple users are allowed to participate in the recommendation process fairly through the certification before joining the blockchain network. Besides, the scheme introduces a reputation-based incentive mechanism, which can curb users' malicious behaviors and attract more users to participate in the recommendation process, thus optimizing the recommendation results. Then, we design and implement an education resources recommendation system based on the proposed scheme, which provides a new solution idea for the design of highly credible recommendation systems. Finally, the experimental analysis of the proposed scheme shows that it can achieve fair and credible recommendations and significantly improve the accuracy of the recommendation results.