Project information

  • Category: Machine Learning
  • Project date: 27 April, 2021
  • Project URL: View Here

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Our goal is to build a mixture model for collaborative filtering. We have a data matrix containing movie ratings made by users where the matrix is extracted from a much larger Netflix database. Any particular user has rated only a small fraction of the movies so the data matrix is only partially filled. The goal is to predict all the remaining entries of the matrix. We use here the Expectation Maximization (EM) algorithm.