Personalised recommendation of English MOOC teaching resources based on multi dimensional user portrait

In order to improve the accuracy of personalised recommendation of English MOOC teaching resources, the research on personalised recommendation method of English MOOC teaching resources based on multi-dimensional user portrait was carried out. This paper first introduces the self attention mechanism, extracts the user attribute features and potential features, and integrates them to realise the construction of multi-dimensional user portraits, and then considers the basic attributes, interest attributes and social attributes to complete the calculation of user similarity. Finally, on this basis, combined with the attribute characteristics of teaching resources and user interest characteristics, it completes the personalised recommendation of English MOOC teaching resources. The experimental results show that the accuracy of the proposed method is higher than 96.3%, the recall rate is higher than 95.7%, and the F1 value is between 0.93~0.98002E.