A book recommendation system based on popularity, correlation, and collaborative filtering.
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Updated
Apr 17, 2023 - Jupyter Notebook
A book recommendation system based on popularity, correlation, and collaborative filtering.
This is an end to end book recommendation system.
Book recommender api written in flask framework
Used Nearest Neighbours to create a book recommendation model
Book Recommender system
Book recommendation system using user base collaborative filter Algorithm and testing the accuracy result by comparing with different algorithms
Stuff of flask project
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!
BOOK_Recommendation_Using_KNN
In this project we used a k-nearest neighbors algorithm (KNN) to recommend a book based on your previous book prefrecnces.
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.
This is a fully fledged book shopping webapp including NLP & recommender system
Python notebook for Book Recommendation System using collaborative filtering.
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.
Content-based book recommendation system
collaborative filtering
Web application which shows Top 50 books of all time & recommends similar books if a book name is provided.
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.
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