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Building a Recommendation Engine: The XELOPES Library

  • Alexander Paprotny
  • Michael Thess
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Part of the Applied and Numerical Harmonic Analysis book series (ANHA)

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.

Keywords

Association Rule Categorical Attribute Mining Model Abstract Class Basis Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Alexander Paprotny
    • 1
  • Michael Thess
    • 2
  1. 1.Research and Developmentprudsys AGBerlinGermany
  2. 2.Research and Developmentprudsys AGChemnitzGermany

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