Information Mining and Retrieval Unit

The low user entry barrier of the Web has resulted in massive amounts of weakly structured data describing objects, concepts, user interests and communities. The goal of this work programme is to develop techniques that exploit this information, providing a means for its reuse and understanding of the dynamics underlying its production. Using techniques developed in the fields of supervised and unsupervised classification, recommendation systems and user and population modelling, this work programme will focus on developing personalisation and task support strategies, mining and modelling of communities and topics, and feature extraction and selection.

  • Václav Belák's picture
    Ph.D. Student
    vaclav [dot] belak [at] deri [dot] org
  • Conor Hayes's picture
    Unit Leader, Lecturer/Lecturer
    Tel:
    +353 91 495110
    conor [dot] hayes [at] deri [dot] org
  • Benjamin Heitmann's picture
    Ph.D. Student
    benjamin [dot] heitmann [at] deri [dot] org
  • Hugo Hromic's picture
    Ph.D. Student
    hugo [dot] hromic [at] deri [dot] org
  • Ioana Hulpus's picture
    Ph.D. Student
    ioana [dot] hulpus [at] deri [dot] org
  • Marcel Karnstedt's picture
    Postdoctoral Researcher
    Tel:
    +353 91 494034
    marcel [dot] karnstedt [at] deri [dot] org

Pages

  • Conor Hayes's picture
    Unit Leader, Lecturer/Lecturer
    Tel:
    +353 91 495110
    conor [dot] hayes [at] deri [dot] org
No jobs currently available for this unit.

@hayes_conor