Chapter 17. Case study: Shop It To Me

This chapter covers

  • Speed and scale considerations for the classifier system
  • How the training pipeline was constructed
  • Restructuring classification for very high throughput

So far, the chapters on classification have presented an overview of classification plus detailed explanations of what it takes to design and train a Mahout classifier, evaluate the trained models in order to adjust performance to the desired level, and deploy the classifier into large-scale systems. This chapter puts all those topics into practice in a case study drawn from a real-world online marketing company, called Shop It To Me (http://www.shopittome.com/), that selected Mahout as their approach to classification. You’ll examine ...

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