A Novel Path Recommendation Algorithm for Efficient and Secure Government Affairs System

Government organizations are digitizing their services. The purpose is to improve efficiency and provide better services for users. But, every platform is inefficient to connect with each other so far. Therefore, with the characteristics of resource sharing, fast computing speed, and high reliability of distributed system, this paper develops a security and efficient government affairs system with a novel path recommendation algorithm. The purpose is to recommend appropriate government agency for offline affair of user. The algorithm contains three functions, distance priority, time priority, and mixed average priority. Then, the system recommends the appropriate standard by comparing the total cost of the three functions. However, this paper retrieves the location of real government departments and then generates users with uniform distribution for simulation experiments. There are some specific experimental results in this paper. First, as the user interval is smaller, the proportion gap between government agencies receiving users is getting smaller as well. Second, as the user interval is large, moderate, and small, the system then will select distance priority function, time priority function, mixed average priority function for recommendation, respectively.