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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.
A social book review and discovery platform with real-time, personalized recommendations using FAISS and LDA. Built with Next.js, Tailwind CSS, and TypeScript.
This project implements a book recommendation system using machine learning techniques. It helps users find books based on preferences, book ratings, and similarity measures.
📚 A Book Recommendation System built with Python, Flask, and machine learning. It suggests books based on user preferences using collaborative filtering and popularity-based models.
A collaborative filtering-based book recommendation system that analyzes user ratings, computes similarities, and generates personalized book suggestions using Python and matrix techniques.
A simple Book Recommendation System that suggests books to users based on similarity scores using content-based filtering. Built with Python, it helps users discover books they might enjoy by analyzing features like title, author, and genre.