Neural Tensor Factorization for Temporal Interaction Learning

WSDM, pp. 537-545, 2019.

Cited by: 16|Bibtex|Views84|Links
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Keywords:
deep learning temporal interaction learning tensor factorization

Abstract:

Neural collaborative filtering (NCF) and recurrent recommender systems (RRN) have been successful in modeling relational data (user-item interactions). However, they are also limited in their assumption of static or sequential modeling of relational data as they do not account for evolving users' preference over time as well as changes in...More

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