This is a fully fledged book shopping webapp including NLP & recommender system
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Updated
Jul 27, 2023 - Jupyter Notebook
This is a fully fledged book shopping webapp including NLP & recommender system
A book recommendation system based on popularity, correlation, and collaborative filtering.
NextRead is a book recommender system built for Book Lovers. Simply enter your current favourite book and get peronalized book list to find your new favourite.
BOOKresource a place to get friends with books
Used Nearest Neighbours to create a book recommendation model
Book Recommender system
Stuff of flask project
This is an end to end book recommendation system.
NextRead is a book recommender system created specifically for book readers. It allows a user to get personalised recommendation with a user-friendly interface. This is my final year project.
This project uses machine learning to create a personalized bookrecommendation system. By combining collaborative filtering and content-based filtering, it analyzes user preferences and book attributes to suggest tailored book recommendations. The system offers real-time updates and accurate predictions to enhance the user experience.
Book recommendation system using user base collaborative filter Algorithm and testing the accuracy result by comparing with different algorithms
Python notebook for Book Recommendation System using collaborative filtering.
Book recommender api written in flask framework
A simple book recommendation bot built using Amazon Lex and Lambda, deployed both on a web UI using kommunicate & on WhatsApp using Twilio, offering personalized book suggestions.
This is a machine learning project that helps users get book recommendation. The project uses two types of recommendation systems: popularity based to recommend the top 20 books and collaborative filtering to recommend books based on user ratings
Book Recommendation System - Unsupervised
Welcome to our Book Recommendation App Clone! This project brings the magic of personalized book recommendations to your fingertips. Discover your next favorite read with our user-friendly interface and recommendation algorithms. Start exploring the world of literature today!
collaborative filtering
Web application which shows Top 50 books of all time & recommends similar books if a book name is provided.
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