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20202024
most citedCounterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

58 citations · 96 across the 13 of their papers we have counts for

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Showing 2022Show all

1 paper · 1 filter

cs.IR2022

RecXplainer: Amortized Attribute-based Personalized Explanations for Recommender Systems

Sahil Verma, Chirag Shah, John P. Dickerson +3

Recommender systems influence many of our interactions in the digital world -- impacting how we shop for clothes, sorting what we see when browsing YouTube or TikTok, and determini…