Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow

This repository contains collaborative filtering recommender system build in Python with surprise package to predict book ratings in Book-Crossing dataset.

This repository contains the source code of book recommendation system using collaborative filtering. The system recommends the books based on the similarities between user profiles

This is a IBM Watson Based Book Recommendation Chatbot that can recommend the users a specific book depending upon the genre that is provided.

The "Book Recommender System" project aims to provide personalized book recommendations using advanced algorithms and user data. It enhances the reading experience by suggesting books that match users' preferences and interests.

NovelNudge is a book recommendation engine that embeds titles, descriptions, authors, and genres using SentenceTransformers. It combines these vectors and ranks similar books with cosine similarity and fuzzy title matching.

Back End Coding for Final Project for "Implementation of Content-Based Filtering on Books Recommendation Application Using Vector Space Model <Case Studi: UMN Library>"

A simple book recommendation system that allows users to get personalized suggestions or search for books using different methods.

A framework to ranking information based on user preferences

Recommends books to users depending on their past interest

Terminal-based book recommendation system in Python.

Book recommendation app using NLP, deployed with Docker, Kubernetes (Kustomize & Helm), and Terraform on GCP.

Book Reccomendation System for "Popularity" and "Collaborative Filtraing" Based Reccomendation

A MySQL database project that recommends books based on collaborative filtering and genre preferences, combining Amazon Books Reviews (221k+ ratings) and 7k Books metadata.

This app created using ReactJS recommends a few books across genres to the users.

Find your next read by vibe and meaning, not keywords. A two-stage semantic recommendation engine with emotional tone filtering. Built with LangChain, ChromaDB & Gradio.

Djangoの公式チュートリアルを参考にして、ログインシステム付き投票システムを作成しました。

A Machine Learning based Book recommendation system built using cosine similarity. The application recommends reading patterns, featuring an interactive streamlit web interface with book cover previews and personalized recommendation.