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Kevin McCarthy

  • PhD
  • Post Doctoral Researcher
  • CLARITY: Centre for Sensor Web Technologies, UCD
  • 28PublicationsNumber of items in Kevin's My Publications folder on Mendeley.
  • 22Followers

Recent publications

  • A Model of Collaboration-based Reputation for the Social Web

    • McNally K
    • O'Mahony M
    • McCarthy K
    • et al.
  • An Analysis of Critique Diversity in Case-Based Recommendation

    • McCarthy K
    • Reilly J
    • McGinty L
    • et al.

Professional experience

Post Doctoral Researcher

CLARITY: Centre for Sensor Web Technologies, UCD

June 2008 - Present




September 2003 - May 2008(5 years)



September 1998 - May 2003(5 years)


Kevin graduated from University College Dublin with a Batchelor of Science (Hons) degree in Computer Science in 2003. During his degree, Kevin worked in ChangingWorlds, a mobile personalisation software company started out of UCD, for over a year. Kevin then achieved a PhD under the supervision of Prof Barry Smyth and Dr Lorraine McGinty in 2008. Kevin now works as a postdoctoral researcher in the CLARITY Center for Sensor Web Technologies. Kevin’s research interests include: personalisation, recommender systems, artificial intelligence, critique-based feedback, user modelling, social networks, mobile internet, human computer interaction and intelligent interfaces. Currently, he is involved in research projects which, look at analysing social networks based on mobile bluetooth connections, dynamically organising and documenting meetings based on sensor data, finding topical news stories using micro-blogging as its source, controlling large screen public displays with mobile device, examining search behaviour under pressure situations and improving e-commerce site navigation using conversational recommender system techniques. Kevin’s PhD dissertation, entitled "From Individual to Group Recommendation: A Dynamic Critique-Based Approach" , investigated critique-based feedback in the area of Conversational Recommender Systems. The work introduced a new type of critique feedback known as Dynamic Compound Critiques, as well as various user profiling and enhancement techniques based on critiquing information. The research revealed that this approach can help reduce conversational session length and improve recommendation quality . Kevin also studied approaches to using critique-based feedback in group recommender system scenarios. Kevin has published over 30 journal, conference and workshop papers and has presented his research at various conferences accross the world. Kevin has also received two best paper awards for his research at the Adaptive Hypermedia and Adaptive Web-Based Systems (AH) and the British Artificial Intelligence (AI) conferences. Kevin has given guest lectures at colleges such as Athlone Institute of Technology (AIT) and Dundalk Institute of Technology (DKIT), as well as lecturing a course to MSc students in UCD. He has designed and administered artificial intelligence practical projects for undergraduates at UCD for several years. Kevin also helps with the supervision of PhD students in CLARITY and supervises an intern student as part of the ODCSSS summer school. Kevin has refereed for many Journals and International Conferences, which have included; Transactions on the Web, European Conference on Artificial Intelligence (ECAI), International Conference on Case-Based Reasoning (ICCBR), Intelligent User Interfaces (IUI), User Modelling (UM), E-Commerce and Artificial Intelligence and Cognitive Science (AICS). Kevin is also serving on the Program Commitee of leading International Conferences including; Recommender Systems (RecSys), Adaptive and Self-adaptive Systems and Applications (ADAPTIVE) and the UK Workshop on Case-Based Reasoning (UK-CBR).


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