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Showing 1 to 1 of 1 for “"Training Data Perturbations"”.

  1. Accurate and Trustworthy Recommender Systems: Algorithms and Findings

    … algorithms trained with user-item interaction data to generate recommendations. However, current recommender systems still face diverse challenges with respect to accuracy, personalization, and robustness. In this thesis, we investigate such challenges and provide insights and solutions to …

    gatech Repository record for Accurate and Trustworthy Recommender Systems: Algorithms and Findings (opens in a new tab)