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hybrid-recommendation-engine

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Md-Emon-Hasan / BookSage-AI

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Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via Flask with responsive HTML/CSS UI and integrated CI/CD for production-ready, scalable, and interactive recommendations.

data-science machine-learning collaborative-filtering recommendation-system python-project hybrid-recommendation hybrid-recommender-system ai-project hybrid-recommendation-engine content-based-filtering personalized-recommendation book-recommendation-model book-recommendation-system cold-start-problem collaborative-filtering-recommendation dockerized-app ai-recommendation-system user-personalization ai-recommendations personalized-recommendation-system
  • Updated Oct 21, 2025
  • Jupyter Notebook

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