Design of online service reputation system for agricultural products sales platform based on P2P network

Abstract

Due to the failure of the existing systems to convert online service reputation evaluation, the accuracy, average recall rate and average comprehensive index of online service reputation evaluation show a straight-line downward trend. Therefore, this paper proposes an online service reputation system of agricultural products sales platform based on P2P network. This paper analyses the related concepts involved in the online service reputation system of agricultural products sales platform, designs the system under P2P network through B/S framework, mainly including the modules of online service reputation evaluation, information release and system account management. The online service reputation evaluation of agricultural products sales platform is transformed into service classification in multi-dimensional space. Machine learning is used to train the samples, and the optimal classifier model is established in multi-dimensional space to classify the online service of agricultural product sales platform, so as to achieve the final evaluation of online service reputation of agricultural product sales platform. The experimental results show that the accuracy and average recall rate of the system are close to 100%, and the average comprehensive index is up to 98.3%.

Keywords

• p2p network
• agricultural products
• marketing platform
• online service
• reputation system