In today’s extremely busy world, the use of Recommendation Systems is becoming increasingly popular. Recommendation Systems can help make the right choice without having to extend our cognitive resources. The main purpose of these systems is to search for content that might be interesting to an individual. Several factors are considered and personalized content, specific to an individual is suggested. Companies implement Recommendation Systems for many reasons, such as improving retention, increasing sales and accelerating work.
There are different types of Recommendation Systems available, they are- Collaborative Filtering and Content-based Filtering. Companies such as Amazon, Netflix, Pandora, and Twitter are making use of Recommendation Systems, this is what they track and how they make use of it!0