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    Search, retrieval & recommendation· 2008

    Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model

    Yehuda Koren (first author) · 2008

    Read the original

    DOI 10.1145/1401890.1401944OpenAlex W7096616303

    On the reading lists

    Why it matters

    Combined neighborhood and latent-factor approaches, advancing Netflix Prize recommendation accuracy.

    Condensed from the expert lists' notes.

    The record

    First released
    2008 (from OpenAlex)
    Citations
    3,856 citations, as counted by OpenAlex (CC0)
    Awards
    KDD Test of Time
    Named by
    both expert lists
    Score
    0.696 · computed rank 74 · consensus 0.73, must-read 0.5, citations percentile 0.792 (2000s · retrieval), awards 1, 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.