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RecRec: Algorithmic Recourse for Recommender Systems

RecRec: Algorithmic Recourse for Recommender Systems

28 August 2023
Sahil Verma
Ashudeep Singh
Varich Boonsanong
John P. Dickerson
Chirag Shah
ArXivPDFHTML

Papers citing "RecRec: Algorithmic Recourse for Recommender Systems"

4 / 4 papers shown
Title
Exploring the Impact of Large Language Models on Recommender Systems: An
  Extensive Review
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
A. Vats
Vinija Jain
Rahul Raja
Aman Chadha
LRM
28
13
0
11 Feb 2024
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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