Session-aware Information Embedding for E-commerce Product Recommendation

@article{Wu2017SessionawareIE,
  title={Session-aware Information Embedding for E-commerce Product Recommendation},
  author={Chen Wu and Ming Yan and L. Si},
  journal={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
  year={2017}
}
  • Chen Wu, Ming Yan, L. Si
  • Published 2017
  • Computer Science
  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
  • Most of the existing recommender systems assume that user's visiting history can be constantly recorded. However, in recent online services, the user identification may be usually unknown and only limited online user behaviors can be used. It is of great importance to model the temporal online user behaviors and conduct recommendation for the anonymous users. In this paper, we propose a list-wise deep neural network based architecture to model the limited user behaviors within each session. To… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Session-based Recommendation with Graph Neural Networks
    • 103
    • Open Access
    Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
    • 5
    • Open Access
    GACOforRec: Session-Based Graph Convolutional Neural Networks Recommendation Model
    • 4
    • Open Access
    Dynamic attention-integrated neural network for session-based news recommendation
    • 3
    • Open Access
    Towards Recommendation with User Action Sequences
    Time-weighted Attentional Session-Aware Recommender System
    A Survey on Session-based Recommender Systems
    • 28
    • Open Access