Abstract
In VRAIN we work with recommendation system that are a tool that extracts a
set of criteria and user data assessments for making predictions
recommendations of elements that may be of use or value to the user or
companies. Such systems can be applied, for example, to online shopping services,
in which user preferences are extracted from a purchase history or from their
interaction with the service itself (Amazon, Netflix, or Spotify for example). You can also
use to improve processes within the company, for example, to recommend candidates
for a certain position in the HR department.