ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly

    WWW, 2015.

    Cited by: 36|Bibtex|Views79|Links
    EI

    Abstract:

    Matrix completion and approximation are popular tools to capture a user's preferences for recommendation and to approximate missing data. Instead of using low-rank factorization we take a drastically different approach, based on the simple insight that an additive model of co-clusterings allows one to approximate matrices efficiently. T...More

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