The "Book Recommender System" project is a web application created with the Flask framework that uses machine learning algorithms to provide users with personalised book recommendations. To develop reliable and personalised recommendations for each individual, the system uses a large collection of books and user preferences data.
• Flask • Numpy • Pandas
- Popularity Based Filtering
- Content Based Filtering
- Collabrative Based Filtering
- Hybrid Filtering Method
we have 3 files in our dataset which is extracted from some books selling websites.
• Books – first are about books which contain all the information related to books like an author, title, publication year, etc.
• Users – The second file contains registered user’s information like user id, location.
• ratings – Ratings contain information like which user has given how much rating to which book.
book1.online-video-cutter.com.1.mp4
#ppt Presentation
https://docs.google.com/presentation/d/1iKijTA9PlRZQjsSRl282CPVR9EVqjq-7K261eyTBra8/edit?usp=sharing