Tafm: a recommendation algorithm based on text-attention factorization mechanism

HIGHLIGHTS

  • who: Xianrong Zhang and colleagues from the Cyberspace Institute of Advanced Technology (CIAT), Guangzhou University, Guangzhou, China have published the article: TAFM: A Recommendation Algorithm Based on Text-Attention Factorization Mechanism, in the Journal: Computational Intelligence and Neuroscience of 29/08/2022
  • what: In view of this the authors propose a text-attention FM (TAFM) based on the DeepFM algorithm. The authors design a DNN layer and an intent mining layer to form a deep layer. In the fourth part, the authors design experiments to compare and analyze the model proposed in this paper with . . .

     

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