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    DISGD: A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems by Hazem, Heidy

    Published 2020
    “…The proposal is motivated by an observation that with large volumes of data, the overwrite of updates, lock free updates, does not affect the result with sparse user-item matrices. …”
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