Introduction to recommendation systems
A recommendation system is a computer program that recommends items for users of digital platforms such as e-commerce websites and social networks. It uses large data sets to develop models of users’ likes and interests, and then recommends similar or recommended items to individual users.There are different types of recommendation systems, depending on the methods and data they use. Some of the common types are:
- Collaborative filtering: This type of recommendation system uses the ratings or feedback of other users who have similar preferences to the target user. It assumes that users who liked similar items in the past will like similar items in the future. For example, if user A and user B both liked movies X and Y, then the algorithm may recommend movie Z to user A if user B also liked it.
- Collaborative filtering can be further divided into two subtypes: user-based and item-based:
- User-based collaborative filtering finds similar users...
