Chapter 12. Taking the best of all algorithms: Implementing hybrid recommenders

This chapter is a hybrid of many sections:

  • You’ll learn to combine recommenders to take advantage of the strengths and weaknesses of different types of recommender systems.
  • You’ll tour the overall classes of hybrid recommenders.
  • You’ll be introduced to ensemble recommenders.
  • Having knowledge of ensemble recommenders, you’ll look at how to implement a specific algorithm called feature-weighted linear stacking (FWLS).

Supposedly one of the most energy-efficient cars ever made is a hybrid: a Toyota Prius. At its core, Toyota combines two well-known technologies—the combustion engine and the electric engine.[1] Hybrid recommenders are basically the same idea—you combine ...

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