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Machine Learning

Movie Recommendation System

Building a collaborative filtering engine using Singular Value Decomposition (SVD).

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Movie Recommendation System screenshot

Project Overview

A recommender system that predicts user ratings for movies by decomposing user-item matrices.

Technologies Used

PythonSurprise LibrarySVD

Methodology

  1. 1Building a sparse user-item interaction matrix.
  2. 2Applying Matrix Factorization techniques.
  3. 3Latent factor extraction for movies and users.
  4. 4Generating top-N personalized recommendations.

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