Summary
You started with gaining the basic knowledge about a recommender system. You then understood the Matchbox recommender that comes with ML Studio along with its components. You also explored different kinds of recommendations that you can make with it. Finally, you ended up building a simple recommendation system to recommend restaurants to a given user.
In the following chapter, you will explore how to extend your experiments beyond the capability of ML Studio by writing code in either R or Python.
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