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hybrid-book-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.

catboost collaborative-filtering content-based-filtering fastapi feature-engineering goodbooks-10k hybrid-recommender implicit-als learning-to-rank machine-learning

Creat：2025-11-14T20:57:29

Update：2025-11-15T20:38:22

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