What are the many types of Recommender Systems available?

There are three main types of Recommender systems.

Collaborative filtering – Collaborative filtering is a method of making automatic predictions by using the recommendations of other people. There are two types of collaborative filtering techniques –

  • User-User collaborative filtering
  • Item-Item collaborative filtering

Content-Based Filtering– Content-based filtering is based on the description of an item and a user’s choices. As the name suggests, it uses content (keywords) to describe the items, and the user profile is built to state the type of item this user likes.

Image – Collaborative filtering & Content-based filtering

Hybrid Recommendation Systems – Hybrid Recommendation engines are a combination of diverse rating and sorting algorithms. A hybrid recommendation engine can recommend a wide range of products to consumers as per their history and preferences with precision.