Summary

In this chapter, we gained an overview of the world of recommender systems. We saw two approaches to solving the recommendation problem; namely, prediction and ranking. Finally, we examined the various types of recommender systems and discussed their advantages and disadvantages.

In the next chapter, we will learn to process data with pandas, the data analysis library of choice in Python. This, in turn, will aid us in building the various recommender systems we've introduced.