Recommender Systems

Recommender Systems

A recommender system (recommendation system) is a subset of information retrieval systems that seeks to predict the rating or preference a user might give to an item (product). Simply put, it is an algorithm that suggests relevant items to users.

Example Questions a Recommender System Answers

• "Which article should I read?"
• "Which book is closer to my taste?"

Common Approaches in Recommender Systems

Two common approaches in these systems are:

1. Collaborative Filtering
   This method recommends items based on the behavior and preferences of similar users. For example, if users similar to you liked a movie, that movie will be recommended to you.

2. Content-Based Filtering
   This method recommends items based on the features of the items themselves and their match with the user's preferences. For example, if you have read a book about history, similar historical books will be recommended to you.