Design of personalized tourism route recommendation system based on knowledge graph

With the development of tourism, the multiple values of recommendation system are reflected. When too many people are online, the system response time is long. To solve these problems, a personalized tourism route recommendation system based on knowledge graph is designed. Hardware part: through digital power supply to obtain analog power, ensure the full range of voltage consistent, connected to the relevant components; Software part: build user interest model, classify different neighbor node structure, use knowledge graph to optimize the scenic spot entity alignment process, obtain candidate site set, comprehensively calculate scenic spot recommendation score, design personalized tourism route recommendation system software storage function. Test results: The average response time of the personalized tourism route recommendation system in this paper and the other two systems were 11.260ms, 17.715ms and 18.129ms respectively. The results show that the application effect of personalized tourism route recommendation system is better after making full use of knowledge graph.