Browsing by Subject "Information Retrieval"

Now showing items 1-5 of 5

    • Improving Search via Personalized Query Expansion using Social Media 

      LAWLESS, SEAMUS; WADE, VINCENT PATRICK; ZHOU, DONG (Springer Verlag, 2012-06)
      Social tagging systems have gained increasing popularity as a method of annotating and categorizing a wide range of different web resources. Web search that utilizes social tagging data suffers from an extreme example of ...

    • A Proposal for the Evaluation of Adaptive Personalised Information Retrieval 

      LAWLESS, SEAMUS; O'CONNOR, ALEXANDER; MULWA, CATHERINE (2010)
      Personalisation in Information Retrieval is achieved using a range of contextual information such as information about the user, the task being conducted and the device being used. This information is used to devise the ...

    • 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, ...

    • Revisiting Contextual Recommendation from an Information Retrieval Standpoint 

      Chakraborty, Anirban (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)
      The challenge of providing personalized and contextually appropriate recommendations to a user is faced in a range of use-cases, e.g. recommendations for movies, places to visit, articles to read etc. In this thesis, we ...

    • Web Search Personalisation Using Social Data 

      LAWLESS, SEAMUS; ZHOU, DONG; WADE, VINCENT (2012)
      Web search that utilizes social tagging data suffers from an extreme example of the vocabulary mismatch problem encountered in traditional Information Retrieval (IR). This is due to the personalized, unrestricted vocabulary ...