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2011.07931
Cited By
Do Offline Metrics Predict Online Performance in Recommender Systems?
7 November 2020
K. Krauth
Sarah Dean
Alex Zhao
Wenshuo Guo
Mihaela Curmei
Benjamin Recht
Sai Li
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Papers citing
"Do Offline Metrics Predict Online Performance in Recommender Systems?"
26 / 26 papers shown
Enhancing Live Broadcast Engagement: A Multi-modal Approach to Short Video Recommendations Using MMGCN and User Preferences
Saeid Aghasoleymani Najafabadi
Elaheh Nabavi Nia
176
0
0
29 Jun 2025
Overcoming the Price of Anarchy by Steering with Recommendations
Cesare Carissimo
Marcin Korecki
Damian Dailisan
242
0
0
26 Feb 2025
Review of Explainable Graph-Based Recommender Systems
ACM Computing Surveys (ACM CSUR), 2024
Thanet Markchom
Huizhi Liang
James Ferryman
XAI
468
3
0
31 Jul 2024
Harm Mitigation in Recommender Systems under User Preference Dynamics
Knowledge Discovery and Data Mining (KDD), 2024
Jerry Chee
Shankar Kalyanaraman
S. Ernala
Udi Weinsberg
Sarah Dean
Stratis Ioannidis
282
8
0
14 Jun 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
Sarah Dean
Evan Dong
Meena Jagadeesan
Liu Leqi
357
18
0
18 Apr 2024
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops
Hangtong Xu
Yuanbo Xu
Yongjian Yang
Fuzhen Zhuang
Hui Xiong
232
2
0
10 Nov 2023
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
International Conference on Learning Representations (ICLR), 2023
Adam Block
Dylan J. Foster
Akshay Krishnamurthy
Max Simchowitz
Cyril Zhang
323
12
0
17 Oct 2023
Interface Design to Mitigate Inflation in Recommender Systems
ACM Conference on Recommender Systems (RecSys), 2023
Rana Shahout
Yehonatan Peisakhovsky
Sasha Stoikov
Nikhil Garg
185
2
0
23 Jul 2023
Simulating News Recommendation Ecosystem for Fun and Profit
Guangping Zhang
Dongsheng Li
Hansu Gu
Tun Lu
Li Shang
Ning Gu
240
1
0
23 May 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Victoria Lin
Louis-Philippe Morency
Dimitrios Dimitriadis
Srinagesh Sharma
CML
264
1
0
23 May 2023
Algorithmic Censoring in Dynamic Learning Systems
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Jennifer Chien
Margaret E. Roberts
Berk Ustun
294
7
0
15 May 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Yushun Dong
Jundong Li
Tobias Schnabel
315
14
0
02 May 2023
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems
Fengyu Li
Sarah Dean
123
0
0
22 Dec 2022
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
International Conference on Machine Learning (ICML), 2022
Eden Saig
Nir Rosenfeld
212
8
0
24 Nov 2022
Towards Psychologically-Grounded Dynamic Preference Models
ACM Conference on Recommender Systems (RecSys), 2022
Mihaela Curmei
Andreas A. Haupt
Dylan Hadfield-Menell
Benjamin Recht
250
23
0
01 Aug 2022
Breaking Feedback Loops in Recommender Systems with Causal Inference
ACM Transactions on Recommender Systems (ACM TORS), 2022
K. Krauth
Yixin Wang
Michael I. Jordan
CML
310
27
0
04 Jul 2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms
International Conference on Learning Representations (ICLR), 2022
Jiri Hron
K. Krauth
Sai Li
Niki Kilbertus
Sarah Dean
416
55
0
27 Jun 2022
Synthetic Data-Based Simulators for Recommender Systems: A Survey
Elizaveta Stavinova
A. Grigorievskiy
A. Volodkevich
P. Chunaev
Klavdiya Olegovna Bochenina
D. Bugaychenko
SyDa
207
9
0
22 Jun 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Neural Information Processing Systems (NeurIPS), 2022
Amir Feder
G. Horowitz
Yoav Wald
Roi Reichart
Nir Rosenfeld
OOD
388
7
0
01 Jun 2022
Preference Dynamics Under Personalized Recommendations
ACM Conference on Economics and Computation (EC), 2022
Sarah Dean
Jamie Morgenstern
260
52
0
25 May 2022
Fair ranking: a critical review, challenges, and future directions
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Gourab K. Patro
Lorenzo Porcaro
Laura Mitchell
Qiuyue Zhang
Meike Zehlike
Nikhil Garg
264
72
0
29 Jan 2022
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
Eli Lucherini
Matthew Sun
Amy A. Winecoff
Arvind Narayanan
266
28
0
19 Jul 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
International Conference on Machine Learning (ICML), 2021
Mihaela Curmei
Sarah Dean
Benjamin Recht
157
10
0
30 Jun 2021
On component interactions in two-stage recommender systems
Neural Information Processing Systems (NeurIPS), 2021
Jiri Hron
K. Krauth
Sai Li
Niki Kilbertus
CML
LRM
275
36
0
28 Jun 2021
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Wenshuo Guo
K. Krauth
Sai Li
N. Garg
135
18
0
23 Jun 2021
Contextual Bandits with Sparse Data in Web setting
Björn Eriksson
172
0
0
06 May 2021
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