Book Recommendation System with TensorFlow
A. Anandaraj, P Yeshwanth Ram, K Sri Ram Kumar, Madamala Revanth, R. Gnana Praveen · 2021
A collaborative filtration is the latest process done in the all over the world by using the internet tool for recommendation. Internet tool it helps in access the web and receive information from the customer which book they preferred. Online recommender filtration process can be done easily and quickly. Recommender systems need to filter, prioritize and efficiently deliver relevant information. Recommendation system provides major functionalities in websites to purchase the best book. It is the best method to sell the book quickly and it increased the profit. Rating of each user can express their view on the product. It is difficult to implement Content Based Collaborative Filtering because combining phase is not an easy task. This paper provides a solution on tensorflow techniques which is added to collaborative phases.