Navin Chandak

Recommendations as Treatments: Debiasing Learning and Evaluation

2016 · arXiv (Cornell University)

Most data for evaluating and training recommender systems is subject to selection biases, either through self-selection by the users or through the actions of the recommendation system itself. In this paper, we provide a principled …