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Users derive value from a recommender system (RS) only to the extent that it is able to surface content (or items) that meet their needs/preferences.
GroupLens: Applying Collaborative Filtering to Usenet News
Konstan, J. A.; Miller, B. N.; Maltz, D.; Herlocker, J. L.; Gordon, L. R.; and Riedl, J. 1997 · 1997
Earlier work this paper cites.
Selected Topics in Column Generation
Lübbecke, M. E.; and Desrosiers, J. 2005 · 2005
Earlier work this paper cites.
Probabilistic Matrix Factorization
Salakhutdinov, R.; and Mnih, A. 2007 · 2007
Earlier work this paper cites.
Understanding the k-medians Problem
Whelan, C.; Harrell, G.; and Wang, J. 2015 · 2015
Earlier work this paper cites.
Deep Neural Networks for YouTube Recommendations
Covington, P.; Adams, J.; and Sargin, E. 2016 · 2016
Earlier work this paper cites.
The MovieLens Datasets: History and Context
Harper, F. M.; and Konstan, J. A. 2016 · 2016
Earlier work this paper cites.
Music Personalization at Spotify
Jacobson, K.; Murali, V.; Newett, E.; Whitman, B.; and Yon, R. 2016 · 2016
Earlier work this paper cites.
Neural Collaborative Filtering
He, X.; Liao, L.; Zhang, H.; Nie, L.; Hu, X.; and Chua, T. 2017 · 2017
Earlier work this paper cites.
Markov Chains and Mixing Times , volume 107
Levin, D. A.; and Peres, Y. 2017 · 2017
Earlier work this paper cites.
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
Ben-Porat, O.; and Tennenholtz, M. 2018 · 2018
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Latent Cross: Making Use of Context in Recurrent Recommender Systems
Beutel, A.; Covington, P.; Jain, S.; Xu, C.; Li, J.; Gatto, V.; and Chi, E. H. 2018 · 2018
Cited alongside, same era.
Equity of Attention: Amortizing Individual Fairness in Rankings
Biega, A. J.; Gummadi, K. P.; and Weikum, G. 2018 · 2018
Cited alongside, same era.
Mixed Methods for Evaluating User Satisfaction
Garcia-Gathright, J.; Hosey, C.; St. Thomas, B.; Carterette, B.; and Diaz, F. 2018 · 2018
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Fairness of Exposure in Rankings
Singh, A.; and Joachims, T. 2018 · 2018
Cited alongside, same era.
From Recommendation Systems to Facility Location Games
Ben-Porat, O.; Goren, G.; Rosenberg, I.; and Tennenholtz, M. 2019 · 2019
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
Mladenov, M.; Creager, E.; Swerksy, K.; Ben-Porat, O.; Zemel, R. S.; and Boutilier, C. 2020 · 2020
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Multistakeholder Recommender Systems
Abdollahpouri, H.; and Burke, R. 2021 · 2021
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On YouTube’s Recommendation System
Goodrow, C. 2021 · 2021
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Multi-robot Routing with Time Windows: A Column Generation Approach
Haghani, N.; Li, J.; Koenig, S.; Kunapuli, G.; Contardo, C.; Regan, A.; and Yarkony, J. 2021 · 2021
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Fairness of Exposure in Light of Incomplete Exposure Estimation
Heuss, M.; Sarvi, F.; and de Rijke, M. 2022 · 2022
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Modeling Content Creator Incentives on Algorithm-curated Platforms
Hron, J.; Krauth, K.; Jordan, M. I.; Kilbertus, N.; and Dean, S. 2022 · 2022
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Cited alongside, same era.
Dynamic Mechanism Design: An Introduction
Bergemann, D.; and Välimäki, J. 2019 · 2019
Cited alongside, same era.
Content Provider Dynamics and Coordination in Recommendation Ecosystems
Ben-Porat, O.; Rosenberg, I.; and Tennenholtz, M. 2020 · 2020
Cited alongside, same era.
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Supply-Side Equilibria in Recommender Systems
Jagadeesan, M.; Garg, N.; and Steinhardt, J. 2022 · 2022
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Joint Multisided Exposure Fairness for Recommendation
Wu, H.; Mitra, B.; Ma, C.; Diaz, F.; and Liu, X. 2022 · 2022
Later among the works it cites.