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  1. Common Pitfalls in Training and Evaluating Recommender Systems

    2017 · ACM SIGKDD Explorations Newsletter

    This paper formally presents four common pitfalls in training and evaluating recommendation algorithms for information systems. Specifically, we show that it could be problematic to separate the server logs into training and test data for …