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  • Recommender Systems: A Study of Cold-Start and Attack Resilience 

    Shams, Sulthana (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2024)
    My thesis focuses on two key challenges in Recommender System: the Cold Start Problem and Data Poisoning attacks within the user-clustering framework. We explored utilizing user clustering to address the Cold Start Problem, ...