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An online causal inference framework for modeling and designing systems involving user preferences: a state-space approach
We provide a causal inference framework to model the effects of machine learning algorithms on user preferences. We then use this mathematical model to prove that the overall system can be tuned to alter those preferences in a desired manner. A user can be an online shopper or a social media user, e
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