Building English Course Learning System Based on Hybrid Recommendation Algorithm

With the rapid development of the Internet and artificial intelligence technology, online learning has gradually become an important part of education. How to provide accurate and personalized learning resource recommendations for users in the process of English learning is an urgent problem to be solved. In order to better meet the learning needs of learners, this article designs an English course learning system based on a hybrid recommendation algorithm, which improves the accuracy and personalization of recommendations by integrating the advantages of multiple recommendation algorithms. The article elaborates in detail on the design concept of the system, the construction and optimization of the hybrid recommendation algorithm, and the implementation of the system’s functional modules. This system utilizes a large amount of actual learning data to verify its advantages in improving the accuracy and diversity of learning resource recommendations through comparative experiments and performance evaluations. It is hoped that it can provide more efficient and personalized services for learners’ English course learning.