Browsing by Subject "Recommender Systems"

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    • Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference 

      MCCOURT, ANGELA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)
      The way in which we learn is the subject of considerable research within multiple disciplines. There is also a vast amount of on-line material available to us, causing decision-making to become increasingly difficult. ...

    • 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, ...