A recommender system is an information filtering approach, which predicts the rating given by a user to an item. Then the item for which the predicted rating is high will be recommended to the user. Recommender systems are now being used more or less everywhere for recommending movies, music, news, books, research articles, products, videos, books, news, Facebook friends, restaurants, routes, search queries, social tags, products, collaborators, jokes, restaurants, garments, financial services, Twitter pages, Android/iOS apps, hotels, life insurance, and even partners, in online dating sites.
Overview of recommendation systems
Types of recommender systems
There are a couple of ways to develop recommendation engines that typically...
