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    Search, retrieval & recommendation· 2009

    BPR: Bayesian Personalized Ranking from Implicit Feedback

    Steffen Rendle (first author) · 2009

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    arXiv 1205.2618OpenAlex W2140310134

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    Why it matters

    Introduced BPR optimization, a foundational objective for learning personalized rankings from implicit feedback.

    Condensed from the expert lists' notes.

    The record

    First released
    2009 (from oracle lists)
    Citations
    6,977 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.479 · computed rank 258 · consensus 0.43, must-read 0, citations percentile 1 (2000s · 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.