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Prediction of Book Borrowing Topic Heat Based on Latent Dirichlet Allocation and Bidirectional Gate Recurrent Unit
更新时间：2024-07-18
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    • Prediction of Book Borrowing Topic Heat Based on Latent Dirichlet Allocation and Bidirectional Gate Recurrent Unit

    • “在图书馆领域，研究者提出了基于LDA与双向GRU神经网络的借阅主题热度预测模型，为图书馆阅读推广活动提供重要参考。”
    • Software Guide   Vol. 23, Issue 7, Pages: 51-57(2024)

    • DOI：10.11907/rjdk.231685    

      CLC： TP183

    • Published：15 July 2024，

      Received：09 August 2023，

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  • CHEN Zhihui,WU Keqing,CHEN Jiachao,et al.Prediction of Book Borrowing Topic Heat Based on Latent Dirichlet Allocation and Bidirectional Gate Recurrent Unit[J].Software Guide,2024,23(07):51-57. DOI： 10.11907/rjdk.231685.

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