Research on the spectral domain graph convolution collaborative filtering algorithm based on reinforcement learning and chebyshev

HIGHLIGHTS

• who: Song Wang et al. from the School of Computer Science and Information Engineering, Hubei University, Wuhan, China have published the paper: Research on the Spectral Domain Graph Convolution Collaborative Filtering Algorithm Based on Reinforcement Learning and Chebyshev, in the Journal: Wireless Communications and Mobile Computing of 15/06/2022
• what: To solve the abovementioned problem the authors propose a collaborative filtering recommendation algorithm that incorporates singular value decomposition (SVD) and Chebyshev truncation in spectral domain convolution. The method combines model-based and model-free approaches and is therefore a hybrid learning method Model-based . . .
  

   

  

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