基于用户行为的信誉预测平台研究  

Analysis and Implementation of Reputation Prediction Platform Based on User Behavior

作　　者：郭小强 赵高晖[1] GUO Xiao-qiang;ZHAO Gao-hui(College of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学机械工程学院,上海200093

出　　处：《软件导刊》2018年第6期167-169,共3页Software Guide

摘　　要：为预测电子商务企业用户信誉,预防网络突发事件,研究了基于用户行为的信誉预测平台。根据节点群聚系数和边权度量电子商务中的购物关系,建立信誉度量指标,定量刻画其统计特性和演化机制。基于用户行为的信誉预测平台实现了不同指标维度下的模型评价结果,最终以可视化信息系统形式展示项目成果,为企业决策提供技术支持。In order to predict the credibility of e-commerce enterprises and provide help for network emergencies,a reputation forecasting platform based on user behavior is put forward because of the widespread lack of credibility and lack of trust in ecommerce enterprises.According to the clustering coefficient and edge weight of the node,the shopping relationship in the electronic commerce is measured,the reputation measure is established,the statistical characteristics and the evolution mechanism are quantitatively quantified,and the realization of the reputation forecasting platform is described through the system analysis,system design and system function realization.The reputation forecasting platform based on user behavior realizes the model evaluation results under different index dimensions,and finally displays the project results in the form of visual information system,and makes technical support for the future decision of enterprises.

关 键 词：用户行为 信誉预测 可视化信息系统 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]