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Readme

Note: For each of the recommender systems implemented, kindly check the readme in each of their folders for more implementation details.

Recommender Systems Implemented:

  1. Integrated Model

    • Baseline Model
    • Neighborhood Model
    • Latent Factor Model
  2. Matrix Factorization Collaborative Filtering

  3. Memmory Based Collaborative Filtering

    • Item Based
    • User Based
    • Hybrid Based
  4. Spark -SVD -SVD++ -Alternating Least Squares

  5. Evaluation of Hadoop Family -Compare performance of Hadoop, Hive on single node and 5 node clusters

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Large Scale ML library for recommender systems

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