ONLINE BOOK RECOMMENDATION SYSTEM USING ASSOCIATION RULE MINING AND COLLABORATIVE FILTERING

Recommender systems are one of the most effective and prevalent applications of machine learning tools in business. They direct clients towards those items, which can address their requirements through chopping down vast databases of information. There are various methods, which are used to recommend items such a content-based filtering, collaborative filtering, association rule mining, deep learning and trust-based recommendation. In this paper we talk about creating an online book recommendation system using collaborative filtering and association rule mining.