Book Recommendation System Using Collaborative-Filtering System

Abstract

Abstract — Book recommendation system here uses collaborative filtering approach to recommend books of similar types. Collaborative filtering is an approach to build recommendation engines which is widely used in data mining and information retrieval. The recommendation system in the proposed system uses Memory based collaborative filtering. Based on a collection of user preferences, memory-based collaborative filtering (CF) creates suggestions for objects. This strategy is based on the notion that an active user's interests will be more likely to match those of other users who share similar preferences as the active user.