What recommenders recommend: an analysis of recommendation biases and possible countermeasures

    User Modeling and User-Adapted Interaction, Volume 25, Issue 5, 2015.

    Cited by: 45|Bibtex|Views14|Links
    EI
    Keywords:
    Recommender systemsBiasEvaluation

    Abstract:

    Most real-world recommender systems are deployed in a commercial context or designed to represent a value-adding service, e.g., on shopping or Social Web platforms, and typical success indicators for such systems include conversion rates, customer loyalty or sales numbers. In academic research, in contrast, the evaluation and comparison o...More

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