Research Article
Recommendation Method of Ideological and Political Mobile Teaching Resources Based on Deep Reinforcement Learning
@INPROCEEDINGS{10.1007/978-3-031-28867-8_19, author={Yonghua Wang}, title={Recommendation Method of Ideological and Political Mobile Teaching Resources Based on Deep Reinforcement Learning}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={Intensive learning Ideological and political mobile teaching Mixed resources recommendation}, doi={10.1007/978-3-031-28867-8_19} }- Yonghua Wang
Year: 2023
Recommendation Method of Ideological and Political Mobile Teaching Resources Based on Deep Reinforcement Learning
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_19
Abstract
In order to improve the quality of ideological and political education and achieve the goal of effective management of mass mobile teaching resources, this paper puts forward a recommendation method of ideological and political mobile teaching resources based on deep reinforcement learning. Firstly, based on the theory of deep reinforcement learning, the recommendation model of ideological and political mobile teaching resources is constructed, and the recommendation method of ideological and political mobile teaching resources is extracted effectively.
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