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  • 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 ...
  • A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers 

    Coyle, Lorcan; Cunningham, Padraig; Hayes, Conor (Trinity College Dublin, Department of Computer Science, 2002-04)
    This paper describes a case-based approach to user profiling in a Personal Travel assistant (based on the 1998 FIPA Travel Scenario). The ap-proach is novel in that the user profile is made up of a set of cases capturing ...
  • A Case-Based Reasoning View of Automated Collaborative Filtering 

    Hayes, Conor; Cunningham, Padraig; Smyth, Barry (Trinity College Dublin, Department of Computer Science, 2001-03)
    From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be considered case descriptions. In addition, ...
  • CBR Net :- Smart Technology over a Network 

    Doyle, Michelle; Hayes, Conor; Cunningham, Padraig; Smyth, Barry (Trinity College Dublin, Department of Computer Science, 1998-06)
    CBR (case-based reasoning) has considerable potential for developing intelligent assistants for the World Wide Web. We examine intelligent applications already existent online and find that they can be divided into agent ...
  • 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 ...
  • Context Boosting Collaborative Recommendations 

    Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2003-06-13)
    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 uses ...
  • Distributed CBR using XML 

    Hayes, Conor; Doyle, Michelle; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 1998-06)
    CBR (case-based reasoning) has considerable potential for developing intelligent assistants for the World Wide Web. Several case-based intelligent applications already exist on the web but these applications follow a ...
  • An on-line evaluation framework for recommender systems 

    Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2002-04)
    Several techniques are currently used to evaluate recommender systems. These techniques involve off-line analysis using evaluation methods from machine learning and information retrieval. We argue that while off-line ...
  • 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 ...
  • Re-using Implicit Knowledge in Short-term Information Profiles for Context-sensitive Tasks 

    Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2005-02-22)
    Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items where the user has implicitly encoded ...
  • Representing Cases for CBR in XML 

    Coyle, Lorcan; Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2002-11)
    Case Based Reasoning has found increasing application on the Internet as a shopping assistant for e-commerce stores. The strength of CBR in this area stems from its reuse of the knowledge base associated with a particular ...
  • Shaping a CBR view with XML 

    Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 1999-04)
    Case Based Reasoning has found increasing application on the Internet as an assistant in Internet commerce stores and as a reasoning agent for online technical support. The strength of CBR in this area stems from its ...
  • Smart Radio - a proposal 

    Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 1999-04)
    There is significant value in having predictions for an item before deciding whether to invest time or money in consuming that item. In a web based scenario where the items are multimedia items such as audio, ...
  • Smart Radio - Building Music Radio On the Fly 

    Hayes, Conor; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2000-09)
    This paper describes the development of a networked music application at Trinity College Dublin. Smart Radio is a web based client-server application which uses streaming audio technology and collaborative recommendation ...
  • Smart Radio: Building Community-Based Internet Music Radio 

    Hayes, Conor (University of Dublin, Trinity College. Department of Computer Science, 2003-10)
    The success of file-sharing networks demonstrates that there is a huge potential market for digital music services, if the music industry can find a service model that is attractive to listeners. The concept of digital ...