Fairness in Recommendation Ranking through Pairwise Comparisons

    KDD, 2019.

    Cited by: 0|Bibtex|Views16|Links
    EI
    Keywords:
    fairness recommendation recommender systems responsibility responsible recommendation

    Abstract:

    Recommender systems are one of the most pervasive applications of machine learning in industry, with many services using them to match users to products or information. As such it is important to ask: what are the possible fairness risks, how can we quantify them, and how should we address them? this paper we offer a set of novel metrics...More

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