# Plausible Counterfactual Explanations of Recommendations

arXiv: https://arxiv.org/abs/2507.07919 · HTML: https://mlsanity.com/paper/2507.07919/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 10 Jul 2025.

## Abstract (arXiv)

Explanations play a variety of roles in various recommender systems, from a legally mandated afterthought, through an integral element of user experience, to a key to persuasiveness. A natural and useful form of an explanation is the Counterfactual Explanation (CE). We present a method for generating highly plausible CEs in recommender systems and evaluate it both numerically and with a user study.
