Let's get acquainted with the task of building a recommendation system.
We'll cover the following
Recommendation systems are used by most of the platforms we use daily.
- The Amazon homepage recommends personalized products that we might be interested in.
- The Pinterest feed is full of pins that we might like based on trends and our historical browsing.
- Netflix shows movie recommendations based on our taste, trending movies, etc.
In this chapter, we will go over the Netflix movie recommendation problem, but a similar technique can be applied to nearly all other recommendation systems.
The interviewer has asked you to display media (movie/show) recommendations for a Netflix user. Your task is to make recommendations in such a manner that the chance of the user watching them is maximized.