Estimating Prediction Intervals with Machine Learning and Monte Carlo Methods in Online Advertising
Online advertising presents a complex environment. The vast amount of available websites, platforms and formats as well as the trend of programmatic adpurchasing makes assessing a proposed advertisement in terms of cost and expected return challenging. This paper uses machine learning to predict cos...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-282826 |