Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

    Luu Anh Tuan
    Luu Anh Tuan

    WWW '18: The Web Conference 2018 Lyon France April, 2018, pp. 729-739, 2018.

    Cited by: 52|Bibtex|Views6|Links
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    Abstract:

    This paper proposes a new neural architecture for collaborative ranking with implicit feedback. Our model, LRML (Latent Relational Metric Learning) is a novel metric learning approach for recommendation. More specifically, instead of simple push-pull mechanisms between user and item pairs, we propose to learn latent relations that describ...More

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