How To: Build a (Quality) Recommendation Engine

predict what users

will really like

This free guidebook features:

 

  • An in-depth look at the different types of recommendation engines (as well as the advantages and ideal use cases for each).
  • A step-by-step walkthrough to build a recommendation engine from scratch (including code and sample datasets).
  • Insights on the specific challenges in exploring, cleaning, and modeling data for a recommendation engine.
  • A look into the up-and-coming recommendation engine techniques that cutting-edge enterprises are leveraging.
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