Intelligent Recommendation Algorithm for Regulations in Smart City Management

Abstract

With the rapid development of Internet, digital and intelligent urban management construction has gradually become a reality. However, there are obstacles to the development of smart cities. With the continuous improvement of the law and the perfection of the legal system, it is an arduous task to find the legal provisions suitable for trial cases from a wide range of legal provisions, which is accompanied by large work costs and time consumption. Therefore, designing a reasonable and effective intelligent law recommendation algorithm has become a key research direction. In this paper, a new intelligent recommendation algorithm based on WMD similarity calculation and ESVM (enhanced-SVM) idea, namely ESVM-WMD algorithm, is proposed. Simulation results show that ESVM-WMD algorithm outperforms other similar algorithms. At the same time, this paper finds that ESVM can improve the performance of traditional algorithms based on similarity calculation.