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Augmented cross-selling through explainable AI -- a case from energy retailing. (arXiv:2208.11404v1 [cs.LG])
Aug. 25, 2022, 1:11 a.m. | Felix Haag, Konstantin Hopf, Pedro Menelau Vasconcelos, Thorsten Staake
cs.LG updates on arXiv.org arxiv.org
The advance of Machine Learning (ML) has led to a strong interest in this
technology to support decision making. While complex ML models provide
predictions that are often more accurate than those of traditional tools, such
models often hide the reasoning behind the prediction from their users, which
can lead to lower adoption and lack of insight. Motivated by this tension,
research has put forth Explainable Artificial Intelligence (XAI) techniques
that uncover patterns discovered by ML. Despite the high hopes …
More from arxiv.org / cs.LG updates on arXiv.org
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