Personalised push of English online and offline mixed teaching resources

In order to improve the quality of English teaching and recommend English teaching resources that are suitable for students' needs, a personalised push method is proposed, combined with a mixed online and offline teaching mode. Firstly, by analysing the relationship between students and learning resources and combining interest models, we aim to explore students' interest in English learning resources. Next, based on the mining results of learning interests, a rating matrix is established to describe students' English learning behaviour. Finally, using the results of resource scoring similarity, push English teaching resources that are highly similar to students' preferences. The experimental results show that compared to existing teaching resource push methods, our method has higher efficiency in extracting teaching resources and can achieve personalised teaching resource push within 3 s, thereby helping to improve the quality of students' English learning.