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.