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Personalized-Recommendation-Models

  • Implemented various recommendation algorithms, starting from Baseline Estimates to Matrix Factorization.
  • Fine-tuned Matrix Factorization with explicit feedback by adjusting hyperparameters, including latent dimensions, learning rate, and regularization weight.
  • Implemented User-User Collaborative Filtering using Pearson Similarity.

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