Let's have a look where recommendation systems are applied in the practical world:
Two-thirds of the movies on Netflix are recommended.
Thirty-five percent of Amazon's sales come from recommendations.
On Google News, recommendations generate 38 percent more click-through.
Attempts to predict a user's preference for an item is based on past ratings of other items.
They can suggest courses to university students based on their needs and preferences.
They can match resumes to jobs on online job portals.
Now, let's try to use a recommendation engine to solve a real-world problem.
