Book Recommender
Dishit Zinzuvadiya (20IT165)
“Discover your next favorite book with personalized recommendations.”
Description:
Book Recommender is a machine learning-based system that provides personalized book recommendations to users. The system is designed to help people discover new books and authors based on their reading history and preferences. The system uses two machine learning models, content-based filtering, and collaborative filtering, to provide accurate and relevant book recommendations to users. The content-based filtering model recommends books based on the similarity between the user’s reading history and the features of the books, such as the book title, author name, and genre. The collaborative filtering model recommends books based on the similarity between users’ preferences.
As a part of our SGP Project, Our proposed system consists of a book recommender that will suggest them books.
Languages used to make the website:
HTML
Python
Book Recommender Youtube Link
Made by: Dishit Zinzuvadiya
Guided by: Purvi Prajapati