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Using Grids to support Information Filtering Systems
The document discusses running a movie recommendation system using collaborative filtering on grid computing middleware. It describes implementing a Movielens-like recommender system that collects explicit movie ratings from users to generate recommendations. The system was run on the gLite-based EGEE and EELA grids to take advantage of their computational resources. Future work proposed expanding the experiments to other datasets and cloud platforms like Amazon EC2.
