Artificial intelligence digital tools are widely used in teaching scenarios. This study designs a digital learning tool capable of personalized learning resource recommendation and applies it to tourism English education to improve teaching quality. The study first establishes a set of nearest-neighbor user selection scheme based on clustering algorithm and analyzes the overall user behavior in a collaborative filtering way, so as to provide the target users with learning materials pushing service with high accuracy. Then a personalized teaching model for tourism English education is designed based on this system. Finally, the model is applied to actual teaching, and the application effect of this AI digital tool in tourism English education is verified through teaching practice. The students’ performance in tourism English teaching using the personalized learning resources recommendation system increased by 13.59 points compared with that before using the system, which is a significant difference. It shows that the personalized learning resources recommendation system has value in tourism English education.