BOOKresource a place to get friends with books
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Updated
Aug 17, 2024 - CSS
BOOKresource a place to get friends with books
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.
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.
Book Recommender system
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.
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 repository showcases machine learning projects covering diverse topics such as book recommendations, New York Airbnb analysis, and telecom churn prediction. Each project utilizes various techniques and algorithms to tackle specific challenges and extract meaningful insights from the data.
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 system using user base collaborative filter Algorithm and testing the accuracy result by comparing with different algorithms
Book Recommendation System - Unsupervised
This is a fully fledged book shopping webapp including NLP & recommender system
In this project we used a k-nearest neighbors algorithm (KNN) to recommend a book based on your previous book prefrecnces.
Backend server of FastAPI for recommendation feature
A book recommendation system based on popularity, correlation, and collaborative filtering.
Web application which shows Top 50 books of all time & recommends similar books if a book name is provided.
Python notebook for Book Recommendation System using collaborative filtering.
Content-based book recommendation system
Used Nearest Neighbours to create a book recommendation model
collaborative filtering
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