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Meta-Learned Algorithm Selection for Recommender Systems

Dr. Jöran Beel, Trinity College Dublin

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What
    When Sep 04, 2019
    from 15:00 to 16:00
    Where Seminar-Raum 2.025
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    Selecting and configuring the most effective algorithm for recommender systems is a non-trivial task as even experts struggle to predict, which algorithms may potentially perform well in a given system. We tackle the algorithm selection problem in recommender systems from a meta-learning perspective, in which we learn and predict a) the overall best algorithm for a given problem space, and b) the best algorithm for each instance in the problem space.

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