Now showing items 1-4 of 4

    • Automated Case Generation for Recommender Systems Using Knowledge Discovery Techniques 

      Clerkin, Patrick; Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2002-04)
      One approach to product recommendation in ecommerce is collaborative filtering, which is based on data of users? consumption of assets. The alternative case-based approach is based on a more semantically rich representation ...
    • Concept Discovery in Collaborative Recommender Systems 

      Clerkin, Patrick; Cunningham, Padraig; Hayes, Conor (Trinity College Dublin, Department of Computer Science, 2003-09-06)
      There are two main types of recommender systems for e-commerce applications: content-based systems and automated collaborative filtering systems. We are interested in combining the best features of both approaches. In ...
    • Ontology Discovery for the Semantic Web Using Hierarchical Clustering 

      Clerkin, Patrick; Cunningham, Padraig; Hayes, Conor (Trinity College Dublin, Department of Computer Science, 2002-04)
      According to a proposal by Tim Berners-Lee, the World Wide Web should be extended to make a Semantic Web where human understandable content is structured in such a way as to make it machine processable. Central ...
    • Programme driven music radio 

      Hayes, Conor; Cunningham, Padraig; Clerkin, Patrick; Grimaldi, Marco (Trinity College Dublin, Department of Computer Science, 2002-01)
      This paper describes the operation of and research behind a networked application for the delivery of personalised streams of music at Trinity College Dublin. Smart Radio is a web based client-server application that ...