Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items

    WSDM, pp. 438-446, 2019.

    Cited by: 5|Bibtex|Views31|Links
    EI
    Keywords:
    deep learning graphical model link prediction recommendation variational autoencoder

    Abstract:

    Recommendation in the modern world is not only about capturing the interaction between users and items, but also about understanding the relationship between items. Besides improving the quality of recommendation, it enables the generation of candidate items that can serve as substitutes and supplements of another item. For example, when ...More

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