Knowledge learning system recommendation method and device based on BERT and LSTM, and medium

Abstract

The invention discloses a BERT and LSTM-based knowledge learning system recommendation method and device, and a medium. The method comprises the steps of receiving a target knowledge point and a target mastery degree planned to be learned by a user; acquiring historical learning data of the user, and encoding the target knowledge point, the target mastery degree and the historical learning data toform an input vector; and inputting the input vector into a trained knowledge learning system recommendation model based on BERT and LSTM so as to output a recommended learning path to the user. According to the embodiment of the invention, personalized recommendation is carried out for the specific needs of the learner by utilizing the model, and a learning path more conforming to the ability ofthe learner can be provided, so that the learner can acquire and master the knowledge point forming ability more quickly. In addition, the learner learns according to the recommended learning path and feeds back in time, and the recommendation model is continuously optimized.

Description

technical field [0001] This application relates to the field of deep learning technology, in particular to a method, device and medium for recommending a knowledge learning system based on BERT and LSTM. Background technique [0002] In recent years, artificial intelligence technology has developed rapidly, and its commercialization speed has exceeded expectations. Artificial intelligence will bring subversive changes to the entire society, and it has become an important development strategy for various countries in the future. In particular, the algorithm evolution with deep learning as the core, its super evolutionary ability, with the support of big data, can solve various problems through training and building a large-scale neural network similar to the structure of the human brain. [0003] With the rapid development of Internet technology, the traditional education industry has also ushered in a new model of "Internet +". The development of educational informatization ...

AI Technical Summary

Problems solved by technology

[0004] However, in the face of the explosion of knowledge and information, it is difficult for learners to systematically learn some cross-domain knowledge through their own judgment.

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