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2008.00104
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Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
International Conference on Machine Learning (ICML), 2020
31 July 2020
Martin Mladenov
Elliot Creager
Omer Ben-Porat
Kevin Swersky
R. Zemel
Craig Boutilier
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Papers citing
"Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach"
35 / 35 papers shown
CrisiText: A dataset of warning messages for LLM training in emergency communication
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Welfare-Centric Clustering
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Seyed-Alireza Esmaeili
Jamie Morgenstern
117
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14 Aug 2025
Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
S. Nageeb Ali
Nicole Immorlica
Meena Jagadeesan
Brendan Lucier
208
2
0
28 Feb 2025
Policy Design for Two-sided Platforms with Participation Dynamics
Haruka Kiyohara
Fan Yao
Sarah Dean
403
4
0
03 Feb 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Neural Information Processing Systems (NeurIPS), 2024
Joachim Baumann
Celestine Mendler-Dünner
301
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0
17 Jan 2025
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents
Journal of Artificial Intelligence Research (JAIR), 2023
Omer Madmon
Idan Pipano
Itamar Reinman
Moshe Tennenholtz
463
4
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03 Jan 2025
Overhead-free User-side Recommender Systems
Ryoma Sato
214
1
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12 Nov 2024
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Chih-Wei Hsu
Martin Mladenov
Ofer Meshi
James Pine
Hubert Pham
...
Xujian Liang
Anton Polishko
Li Yang
Ben Scheetz
Craig Boutilier
OffRL
198
7
0
26 Sep 2024
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
205
3
0
22 Jun 2024
How to Strategize Human Content Creation in the Era of GenAI?
Seyed A. Esmaeili
Kshipra Bhawalkar
Zhe Feng
Di Wang
Di Wang
Haifeng Xu
338
6
0
07 Jun 2024
Algorithmic Fairness: A Tolerance Perspective
Renqiang Luo
Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
FaML
257
1
0
26 Apr 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
Sarah Dean
Evan Dong
Meena Jagadeesan
Liu Leqi
279
16
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18 Apr 2024
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
Renzhe Xu
Haotian Wang
Xingxuan Zhang
Yue Liu
Peng Cui
289
5
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22 Mar 2024
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
Fan Yao
Chuanhao Li
Denis Nekipelov
Hongning Wang
Haifeng Xu
241
24
0
23 Feb 2024
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
Nicole Immorlica
Meena Jagadeesan
Brendan Lucier
OffRL
273
20
0
18 Jan 2024
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment
International journal of human computer interactions (IJHCI), 2023
Ruixuan Sun
A K Akella
Ruoyan Kong
Moyan Zhou
Joseph Konstan
117
11
0
23 Sep 2023
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
Craig Boutilier
Martin Mladenov
Guy Tennenholtz
OffRL
CML
344
10
0
08 Sep 2023
Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems
Siddharth Prasad
Martin Mladenov
Craig Boutilier
194
12
0
02 Sep 2023
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
International Conference on Learning Representations (ICLR), 2023
Omer Nahum
Gali Noti
David C. Parkes
Nir Rosenfeld
266
5
0
18 Jun 2023
Incentivizing High-Quality Content in Online Recommender Systems
Xinyan Hu
Meena Jagadeesan
Sai Li
Jacob Steinhard
339
13
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13 Jun 2023
A Survey on Fairness-aware Recommender Systems
Information Fusion (Inf. Fusion), 2023
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
312
68
0
01 Jun 2023
Performative Recommendation: Diversifying Content via Strategic Incentives
International Conference on Machine Learning (ICML), 2023
Itay Eilat
Nir Rosenfeld
261
16
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08 Feb 2023
Learning with Exposure Constraints in Recommendation Systems
The Web Conference (WWW), 2023
Omer Ben-Porat
Rotem Torkan
196
14
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02 Feb 2023
pyRDDLGym: From RDDL to Gym Environments
Ayal Taitler
Michael Gimelfarb
Jihwan Jeong
Sriram Gopalakrishnan
Martin Mladenov
Xiaotian Liu
Scott Sanner
407
14
0
11 Nov 2022
Diversified Recommendations for Agents with Adaptive Preferences
Neural Information Processing Systems (NeurIPS), 2022
Arpit Agarwal
William Brown
205
15
0
20 Sep 2022
Fast online ranking with fairness of exposure
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Nicolas Usunier
Virginie Do
Elvis Dohmatob
281
20
0
13 Sep 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
327
49
0
27 Jun 2022
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study
The Web Conference (WWW), 2022
Xintong Wang
Gary Qiurui Ma
Alon Eden
Clara Li
Alexander R. Trott
Stephan Zheng
David C. Parkes
188
13
0
25 Mar 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
227
66
0
29 Jan 2022
Addressing the Long-term Impact of ML Decisions via Policy Regret
International Joint Conference on Artificial Intelligence (IJCAI), 2021
David Lindner
Hoda Heidari
Andreas Krause
OffRL
148
7
0
02 Jun 2021
Bandit based centralized matching in two-sided markets for peer to peer lending
Soumajyoti Sarkar
245
0
0
06 May 2021
Individually Fair Ranking
Amanda Bower
Hamid Eftekhari
Mikhail Yurochkin
Yuekai Sun
FaML
184
12
0
19 Mar 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Martin Mladenov
Chih-Wei Hsu
Vihan Jain
Eugene Ie
Christopher Colby
Nicolas Mayoraz
H. Pham
Dustin Tran
Ivan Vendrov
Craig Boutilier
BDL
197
37
0
14 Mar 2021
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
353
65
0
12 Oct 2020
Beyond Individual and Group Fairness
Pranjal Awasthi
Corinna Cortes
Yishay Mansour
M. Mohri
FaML
278
25
0
21 Aug 2020
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