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.