ENHANCEMENT IN ONLINE BOOK RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING TECHNIQUE

ENHANCEMENT IN ONLINE BOOK RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING TECHNIQUE

K.Mahalakshmi 1*, Dr. V. R Ravi 2, Dr. B. Jaison 3

1Department of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr. Sakunthala Engineering College, Chennai, India

2Department of Electronics and Communication Engineering, Vel Tech High Tech Dr.Rangarajan Dr. Sakunthala Engineering College, Chennai, India

3Department of Computer Science and Engineering, R.M.K Engineering College, Chennai, India

*mahalakshmi.k@velhightech.com

Abstract

Generally, the customer who tends to by a book are often left with the confusion or they are able to find the next best fit for them, So, in order to recommend the customer as per the needs we need a recommendation system and, in the project, we build a recommendation system which helps the buyer to , collaborative and association and mining techniques). And in this project, we use collaborative filtering method. As it is much effective.  The matrix factorization method is also used to find the missing values in the prediction process. And then the factorized valued are passed through the KNN algorithm. The objective of the project is to create a machine learning model to recommend the best fit books for user based on the users interest and the popularity. So, with this process of recommendation we could recommend the best fitting books for the user and help user to buy the most relevant book for them.

Keywords:

Recommendation system, matrix factorization, KNN algorithm, book recommendation.