Design and Implementation of Personalized Tourism Recommendation System on Basis of Knowledge Graph

The research objective of this article is to combine rich knowledge maps with personalized recommendations, provide users with accurate personalized travel recommendations, and build a user oriented personalized travel recommendation system. This article first established a tourism destination route user behavior tourism knowledge map. And on this basis, a recommendation method based on this knowledge graph (KG) was used, and it was integrated with the user's travel habits and travel habits to provide personalized travel recommendations for users. The experiment compared the recommendation accuracy and satisfaction of the system designed in this article with traditional systems. The experimental results showed that the system designed in this article achieved an average score of 94.9% and 9.6 points respectively, which is much higher than traditional systems.