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    Search, retrieval & recommendation· 2016

    Wide & Deep Learning for Recommender Systems

    Heng-Tze Cheng (first author) · 2016

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    DOI 10.1145/2988450.2988454arXiv 1606.07792OpenAlex W2475334473

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    Why it matters

    Established the influential wide-and-deep architecture combining memorization with neural generalization.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1606.07792)
    Citations
    4,338 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.558 · computed rank 181 · consensus 0.7, must-read 0.5, citations percentile 0.852 (2010s · retrieval), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.