Abstract
In this chapter we provide some ideas of implementing the adaptive algorithms described in this book based on the prudsys XELOPES library for BI. We start with the abstract CWM standard and then consider its application to data mining. Next we move to realtime data mining where the central idea is the introduction of agents. The agent framework is further specified for reinforcement learning, and based on RL we next propose a framework for adaptive recommendation engines. At the end, we briefly discuss the application of XELOPES for real recommendation engines.
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© 2013 Springer International Publishing Switzerland
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Paprotny, A., Thess, M. (2013). Building a Recommendation Engine: The XELOPES Library. In: Realtime Data Mining. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-01321-3_12
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DOI: https://doi.org/10.1007/978-3-319-01321-3_12
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Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-01320-6
Online ISBN: 978-3-319-01321-3
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