In the process of E-Learning, interactive entertainment experiences and digital technology provide new models for strengthening the development of online education. This article studies the application of E-Learning entertainment learning based on intelligent interactive experience in English reading assistance mode. The ELearning entertainment learning mode based on intelligent interactive experience focuses on creating interest and interaction, designing an interesting and stimulating learning environment, selecting appropriate technology tools to achieve E-Learning intelligent interactive experience, and designing appropriate learning content and activities according to learning objectives. Firstly, this article designs a semantic inference system that is more convenient in calculating and storing resources, and can perform semantic inference on uncertain knowledge. Secondly, this article delves into the basic principles of Bayesian network algorithms and explores the construction mechanism of Bayesian networks. Then compared with traditional algorithms, the accuracy and stability of this method were demonstrated. Digital technology and artificial intelligence provide new technological support for E-Learning, allowing students to better experience entertaining learning experiences and customize learning content according to personal needs, enhancing educational value. Experiments have shown that using computer-assisted English reading can effectively improve students' English proficiency. This system not only reduces the boredom in traditional English reading, but also provides students with a brand new English learning atmosphere, which can effectively improve their learning efficiency.
