Corpus ID: 13658602

Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation

  title={Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation},
  author={Younghun Song and Jae-Gil Lee},
The recent adoption of recurrent neural networks (RNNs) for session modeling has yielded substantial performance gains compared to previous approaches. In terms of context-aware session modeling, however, the existing RNN-based models are limited in that they are not designed to explicitly model rich static user-side contexts (e.g., age, gender, location). Therefore, in this paper, we explore the utility of explicit user-side context modeling for RNN session models. Specifically, we propose an… Expand
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