Retrieval-based factorization machines for human click behavior prediction

HIGHLIGHTS

• who: Behavior Prediction and collaborators from the Beihang University, Beijing, China have published the paper: Retrieval-Based Factorization Machines for Human Click Behavior Prediction, in the Journal: Computational Intelligence and Neuroscience of 18/Nov/2022
• what: The authors propose a novel approach of retrieval-based factorization machines (RFM) for CTR which can efectively predict CTR by combining global knowledge which is learned from the FM method with the neighbor-based local information. The authors evaluate the RFM model on three public datasets. These methods above , including FM and FM-based neural models, usually train the . . .
  

   

  

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