The Long Tail in Recommender Systems

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How algorithmic confounding in recommendation systems increases homogeneity and decreases utility (2017, background): “construction produces a distribution of utility values with a long tail, as seen in real platforms [10].”
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach (2020, background): “Some work has looked at the impact of RS policies on provider welfare (Singh & Joachims, 2018), on long-term user and provider metrics (e.g., using RL (Chen et al., 2018; Ie et al., 2019b) or assessing various other phenomena (Ribeiro et al., 2020; Celma, 2010)).”