Tensor-based sequential learning via hankel matrix representation for next item recommendations

HIGHLIGHTS

  • who: Item Recommendations et al. from the Skolkovo Institute of Science and Technology, Moscow, Russia have published the paper: Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations, in the Journal: (JOURNAL)
  • what: The authors develop a new tensor factorizationbased model that ingrains the structural knowledge about sequential data within the learning process. The authors demonstrate how certain properties of a self-attention network can be reproduced with the approach based on special Hankel matrix representation. To answer this question, the authors aim to develop a non-neural approach that mimics the . . .

     

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