What are Recommender system?

Based on user preferences, a recommender system predicts how a user will evaluate a certain product. It can be divided into two sections:

Teamwork in Filtering

For instance, Last.FM suggests songs based on what other users who share your interests frequently listen to. Customers may get the following message along with product recommendations after completing a purchase on Amazon: "Users who bought this also bought..."

Filtering based on content

As an illustration, Pandora uses a song's characteristics to suggest songs with related characteristics. Instead than focusing on who else is listening to music, we are here focusing on the substance.