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September 2021
Estimating and Penalizing Preference Shift in Recommender Systems
RecSys '21: Proceedings of the 15th ACM Conference on Recommender SystemsPages 661–667https://doi.org/10.1145/3460231.3478849

Recommender systems trained via long-horizon optimization (e.g., reinforcement learning) will have incentives to actively manipulate user preferences through the recommended content. While some work has argued for making systems myopic to avoid this ...
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