Essays on the use of probabilistic machine learning for estimating customer preferences with limited information
In this thesis, I explore in two essays how to augment thin historical purchase data with other sources of information using Bayesian and probabilistic machine learning frameworks to better infer customers' preferences and their future behavior. In the first essay, I posit that firms can better...
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| Language: | English |
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2021
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| Online Access: | https://doi.org/10.7916/d8-6jva-0e91 |