Recommendation systems

We’re going to describe more details about the experiment itself. What kind of dataset has been used, discuss its specifics and characteristics, which performance metrics have been chosen for final comparison, show final results and in the end, present final conclusions.

Recommendation systems are nowadays used almost everywhere and there is no doubt they can help users to choose the right product. From a business perspective, they increase business metrics and, in the end, earn money.