Study on Book Recommendation System
V K Kavitha, S. Koteeswaran · 2023
A recommendation system aims to suggest certain item or product to specific users based on the user's preference, interest, and rating. It is essential to create associations between objects to deliver the best RS. Today, majority of e-commerce businesses use recommendation algorithms to entice customers to make additional purchases by presenting things that they are likely to like. RS facilitate rapid navigation and information gathering. Reading offers benefits for both individuals and societies as a whole, studies suggest a reduction in reading among young people in particular. The book recommendation systems help readers select the right book for them. The BRS is used by retailers to manage their inventory and boost profits. RS will make it easier to stop this decrease. BRS assists librarians in effectively managing the library catalogue. In this paper a survey on varrious methods applied to BRS is presented. The advantages of adopting a technique, additional techniques that have been used to enhance the BRS and BRS applications are also reviewed. Amazon, Barnes & Noble, Flip cart, Goodread, and other online retailers employ BRS to suggest books that customers might be enticed to purchase because they fit their preferences.