Design of personalized leisure tourism route recommendation system based on deep learning

In order to effectively improve the service quality of leisure tourism and carry out personalized route planning and recommendation according to the rating mechanism of scenic spots, this paper designs personalized leisure tourism route recommendation system based on deep learning.Under the condition of deep learning, the system hardware environment is configured and the recommendation process is divided into two steps: scenic spot recommendation and travel recommendation. In software environment design, based on defining a set of symbols representing all scenic spots, personalized leisure travel route recommendation is realized in combination with users' interests. The simulation results show that the system can provide accurate and reasonable path planning for users and fully meet the research requirements.