NeurIPS 2020

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering

Meta Review

The paper received overall very positive scores (after communication through author response). All the reviewers agree that the paper made a very interesting contribution from a novel angle to understand the tradeoff between "over-personalization" and accuracy. The empirical results provide convincing support for the claim. Therefore, I recommend acceptance. I suggest the authors incorporate the feedback from the reviewers in the revision.