Bandit Algorithms for Website Optimization
When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Gre…
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Produktdetails
- ISBN: 978-1-4493-4133-6
- EAN: 9781449341336
- Produktnummer: 13454646
- Verlag: O'Reilly
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 88 S.
- Masse: H23.1 cm x B18.2 cm x D0.5 cm 172 g
- Gewicht: 172
Über den Autor
John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment.
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