Taxonomy discovery for personalized recommendation

    WSDM, pp. 243-252, 2014.

    Cited by: 48|Bibtex|38|
    EI
    Keywords:
    taxonomy structurehuman readable taxonomypersonalized recommendationcostly manual taxonomy generationhuman-induced taxonomyMore(8+)

    Abstract:

    Personalized recommender systems based on latent factor models are widely used to increase sales in e-commerce. Such systems use the past behavior of users to recommend new items that are likely to be of interest to them. However, latent factor model suffer from sparse user-item interaction in online shopping data: for a large portion of ...More
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