Do Offline Metrics Predict Online Performance in Recommender Systems?

7 November 2020

Benjamin Recht

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Papers citing "Do Offline Metrics Predict Online Performance in Recommender Systems?"

24 / 24 papers shown

Title
Overcoming the Price of Anarchy by Steering with Recommendations Cesare Carissimo Marcin Korecki Damian Dailisan 91 0 0 26 Feb 2025
Harm Mitigation in Recommender Systems under User Preference Dynamics Jerry Chee Shankar Kalyanaraman S. Ernala Udi Weinsberg Sarah Dean Stratis Ioannidis 79 5 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 82 8 0 18 Apr 2024
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang Hui Xiong 55 1 0 10 Nov 2023
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression Adam Block Dylan J. Foster Akshay Krishnamurthy Max Simchowitz Cyril Zhang 77 7 0 17 Oct 2023
Interface Design to Mitigate Inflation in Recommender Systems Rana Shahout Yehonatan Peisakhovsky Sasha Stoikov Nikhil Garg 38 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 37 0 0 23 May 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias Victoria Lin Louis-Philippe Morency Dimitrios Dimitriadis Srinagesh Sharma CML 58 1 0 23 May 2023
Algorithmic Censoring in Dynamic Learning Systems Jennifer Chien Margaret E. Roberts Berk Ustun 72 6 0 15 May 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? Yushun Dong Jundong Li Tobias Schnabel 81 9 0 02 May 2023
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems Fengyu Li Sarah Dean 21 0 0 22 Dec 2022
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig Nir Rosenfeld 62 4 0 24 Nov 2022
Towards Psychologically-Grounded Dynamic Preference Models Mihaela Curmei Andreas A. Haupt Dylan Hadfield-Menell Benjamin Recht 43 15 0 01 Aug 2022
Breaking Feedback Loops in Recommender Systems with Causal Inference K. Krauth Yixin Wang Michael I. Jordan CML 92 19 0 04 Jul 2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus Sarah Dean 112 40 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 69 8 0 22 Jun 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 97 7 0 01 Jun 2022
Preference Dynamics Under Personalized Recommendations Sarah Dean Jamie Morgenstern 140 35 0 25 May 2022
Fair ranking: a critical review, challenges, and future directions Gourab K. Patro Lorenzo Porcaro Laura Mitchell Qiuyue Zhang Meike Zehlike Nikhil Garg 76 56 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 85 23 0 19 Jul 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability Mihaela Curmei Sarah Dean Benjamin Recht 34 8 0 30 Jun 2021
On component interactions in two-stage recommender systems Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus CML LRM 74 31 0 28 Jun 2021
The Stereotyping Problem in Collaboratively Filtered Recommender Systems Wenshuo Guo K. Krauth Michael I. Jordan N. Garg 63 15 0 23 Jun 2021
Contextual Bandits with Sparse Data in Web setting Björn Eriksson 17 0 0 06 May 2021