Problem:Using a dataset of user-movie ratings (e.g., from IMDb or Kaggle's MovieLens dataset), construct auser-item rating matrix where rows represent users and columns represent movies. Solve thefollowing:•Apply Matrix Factorization to predict missing ratings using Singular Value Decomposition (SVD).•Reconstruct the original matrix and calculate the Frobenius norm of the difference.•Identify the top 5 movies recommended for a specific user based on predicted ratings.Data Source: Kaggle MovieLens Dataset or IMDb user ratings.

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College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter6: Linear Systems

Section6.2: Guassian Elimination And Matrix Methods

Problem 81E

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