Читать книгу Fundamentals and Methods of Machine and Deep Learning - Pradeep Singh - Страница 26

This tells you how powerful is the ML recommendation systems are these days. Take for example, you liked an item on Amazon, but add it to your wish list because you cannot afford the item at the current price. Surprisingly, the day after, when you are watching videos on YouTube or some other application you encounter an ad for the item which you have wish-listed before. Even when you switch to another app, say, Facebook, you will still see the same ad on that website. This happens because Google tracks your search history and recommend ads depending on the activities you do. About 35% of Amazon’s wealth is generated by using product recommendation systems like these [18].