Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. (arXiv:2107.05235v2 [cs.IR] UPDATED)

Most of the existing deep learning-based sequential recommendation approaches
utilize the recurrent neural network architecture or self-attention to model
the sequential patterns and temporal influence among a user's historical
behavior and learn the user's preference at a specific time. However, these
methods have two main drawbacks. First, they focus on modeling users' dynamic
states from a user-centric perspective and always neglect the dynamics of items
over time. Second, most of them deal with only the first-order user-item
interactions and do …

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