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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Bibliographic Details
Main Authors: Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2017/1048385
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