Sparse offline recommender rankings correlate only weakly—and sometimes negatively—with dense ground-truth rankings, and no evaluation design is uniformly best.
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On the Convergent Validity of Offline Evaluation Designs for Recommender Systems
Sparse offline recommender rankings correlate only weakly—and sometimes negatively—with dense ground-truth rankings, and no evaluation design is uniformly best.