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Optimizing Long-term Social Welfare in Recommender Systems: A
  Constrained Matching Approach

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach

31 July 2020
Martin Mladenov
Elliot Creager
Omer Ben-Porat
Kevin Swersky
R. Zemel
Craig Boutilier
ArXivPDFHTML

Papers citing "Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach"

11 / 11 papers shown
Title
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann
Celestine Mendler-Dünner
89
3
0
17 Jan 2025
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents
Omer Madmon
Idan Pipano
Itamar Reinman
Moshe Tennenholtz
65
3
0
03 Jan 2025
How to Strategize Human Content Creation in the Era of GenAI?
How to Strategize Human Content Creation in the Era of GenAI?
Seyed A. Esmaeili
Kshipra Bhawalkar
Zhe Feng
Di Wang
Di Wang
Haifeng Xu
67
4
0
07 Jun 2024
Decongestion by Representation: Learning to Improve Economic Welfare in
  Marketplaces
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
Omer Nahum
Gali Noti
David C. Parkes
Nir Rosenfeld
24
2
0
18 Jun 2023
Performative Recommendation: Diversifying Content via Strategic
  Incentives
Performative Recommendation: Diversifying Content via Strategic Incentives
Itay Eilat
Nir Rosenfeld
46
7
0
08 Feb 2023
Learning with Exposure Constraints in Recommendation Systems
Learning with Exposure Constraints in Recommendation Systems
Omer Ben-Porat
Rotem Torkan
26
12
0
02 Feb 2023
pyRDDLGym: From RDDL to Gym Environments
pyRDDLGym: From RDDL to Gym Environments
Ayal Taitler
Michael Gimelfarb
Jihwan Jeong
Sriram Gopalakrishnan
Martin Mladenov
Xiaotian Liu
Scott Sanner
16
8
0
11 Nov 2022
Addressing the Long-term Impact of ML Decisions via Policy Regret
Addressing the Long-term Impact of ML Decisions via Policy Regret
David Lindner
Hoda Heidari
Andreas Krause
OffRL
23
6
0
02 Jun 2021
Bandit based centralized matching in two-sided markets for peer to peer
  lending
Bandit based centralized matching in two-sided markets for peer to peer lending
Soumajyoti Sarkar
11
0
0
06 May 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender
  Ecosystems
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
15
32
0
14 Mar 2021
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
314
0
30 Oct 2017
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