基于频繁模式挖掘的工程建设监管平台用户体验优化研究

Research on User Experience Optimization of Engineering Construction Supervision Platform Based on Frequent Pattern Mining

摘要:

针对工程建设监管平台功能模块众多，层次结构复杂等特点， 如何优化平台链接结构，提高用户访问体验，是管理人员必须考虑的事情。本文分析工程建设监管平台特征，指出平台结构优化的必要性。考虑到不同路径对用户的重要性不同且平台流程复杂，难以统一支持度阈值，本文采用多最小支持度加权频繁模式算法构建挖掘模型，并根据权值大小对不同路径设置不同的支持度阈值，以尽可能挖掘用户感兴趣的路径集。最后对广西水利建设项目监管平台用户日志进行实验，找出用户频繁访问路径，为平台用户使用体验的优化提供决策支持。

Abstract:

In view of the characteristics of many functional modules and complex hierarchical structure of the engineering construction supervision platform，how to optimize the platform link structure and improve the user access experience is something that managers must consider. This paper analyzes the characteristics of engineering construction supervision platform，understands the necessity of platform structure optimization，and considers that different paths have different importance to users and the platform process is complex，so it is difficult to unify the support threshold value. In this paper，multi minimum support weighted frequent pattern mining algorithm is used to build the model，and different support thresholds are set for different paths according to the weight size，so as to mine as much as possible Path set of interest to the user. Finally，the user log of Guangxi water conservancy construction project supervision platform is tested to find out the frequent access path of users and provide decision support for the optimization of user experience of the platform.