Used Nearest Neighbours to create a book recommendation model
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Updated
Dec 12, 2022 - Jupyter Notebook
Used Nearest Neighbours to create a book recommendation model
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.
Book Recommender system
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.
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.
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.
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!
BOOK_Recommendation_Using_KNN
This is a book recommendation system using collaborative filtering based on the cosine similarity between user ratings using 'NearestNeighbors' algorithm
Backend server of FastAPI for recommendation feature
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