Recommendation Systems

  • Roger Barga
  • Valentine Fontama
  • Wee Hyong Tok

Abstract

Are you thinking of building a recommendation engine? Or are you wondering how recommendations at your favorite website work? Look no further. This chapter builds on the introduction in  Chapter 5 with a practical guide on recommendation engines. We will show step by step how to build recommendation engines in Azure Machine Learning.

Keywords

Recommendation System Mobile User Collaborative Filter Related User Related Item 
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.

Copyright information

© Roger Barga, Valentine Fontama, and Wee Hyong Tok 2015

Authors and Affiliations

  • Roger Barga
    • 1
  • Valentine Fontama
    • 1
  • Wee Hyong Tok
    • 1
  1. 1.WAUS

Personalised recommendations