Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
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Updated
Dec 1, 2022 - HTML
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
Discovery Recommender System
A full-stack hybrid book recommender system combining collaborative filtering (ALS), content-based similarity (SBERT), and machine learning ranking (CatBoost). Backend: FastAPI • Frontend: Streamlit • Vector DB: Qdrant • Model serving • Cold-start fallback • Book metadata display.
A Machine Learning-based Book Recommendation System built with Python and Streamlit that recommends similar books using Content-Based Filtering and Cosine Similarity.
Book recommendation system using rank-based, user-based, and SVD collaborative filtering on the Goodreads dataset.
Lightweight Python library for interactive demo and inspection of recommender systems in Streamlit.
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