What is Collaborative Recommender System

A recommender system that recommends items through user collaborations and are the most widely used and proven method of providing personalized recommendations. There are three major types: user-to-user collaborative filtering based on user-to-user similarity, item-to-item collaborative filtering based on item-to-item similarity, and latent factor model-based collaborative filtering based on user-item matrix factorization.

Advanced Recommender Systems

Young Park (Bradley University, USA)