A self-adaptive recommendation method for online ideological and political teaching resources based on deep reinforcement learning

HIGHLIGHTS

• who: Ying Jin from the Haikou University of Economics, Haikou, Hainan Province, China have published the Article: A Self-Adaptive Recommendation Method for Online Ideological and Political Teaching Resources Based on Deep Reinforcement Learning, in the Journal: Mobile Information Systems of 29/08/2022
• what: In this paper an online ideological as well as political teaching resource adaptive recommendation system and algorithm which is designed on deep reinforcement learning is suggested. The simulation outcomes indicate that this approach has noble adaptability and high correctness in recommending online ideological as well as the political teaching resources . . .
  

   

  

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