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colaborative-filtering

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RecAnthology is a hybrid recommendation system for books, movies, and TV shows that combines content-based modeling and collaborative filtering with adaptive weighting, cold-start handling, and offline evaluation metrics to deliver measurable, personalized recommendations.

  • Updated
  • Python

This project builds a scalable recommendation system inspired by Netflix, leveraging collaborative filtering and deep learning techniques to predict user preferences. It focuses on large-scale data processing, model training, and performance evaluation for personalized content recommendations.

  • Updated
  • Python

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