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KonNik88 / hybrid-book-recommender-system

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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.

nlp machine-learning collaborative-filtering learning-to-rank recommender-system feature-engineering catboost content-based-filtering goodbooks-10k fastapi vector-search ml-engineering hybrid-recommender streamlit sbert project-portfolio qdrant implicit-als
  • Updated Nov 15, 2025
  • Jupyter Notebook

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