Countless online services use recommender systems to provide personalization to their users. This is important for selling related items, increasing user engagement, and so on.
In this tutorial, you will learn
- the key machine learning concepts that underpin most modern recommender systems
- how to build your own recommender system using off-the-shelf tools
- the strengths and weaknesses of collaborative filtering and content-based approaches, as well as hybrid methods
- how to explore, explain, and evaluate your recommender models