Information Retrieval
The group has a long and strong research history in the process of information retrieval as a whole from theoretical modelling of the retrieval process to large-scale text retrieval systems building and to the interactive evaluation of multimedia information retrieval systems. The research interests of the group include:
- Theoretical modelling of IR systems
- Probabilistic retrieval
- Web information retrieval
- Implementation of large-scale IR systems
- Multimedia (Image, Video, Audio) information retrieval
- Intranet/Enterprise and Blog search
- Distributed and Peer-to-Peer retrieval
- User Modelling and the development of novel adaptive interaction techniques
- Evaluation of IR systems
- Text mining and knowledge discovery
- Multilingual information retrieval
- Semantic Web and information retrieval
The group maintains strong links with researchers in Machine Learning and Human-Computer Interaction, as well as with industry through knowledge and technology transfer
- RAENG Fellowship
Foundations research in information retrieval inspired by quantum theory.
Prof C.J. van Rijsbergen, 2007-2012.
Academic Staff: Prof Joemon Jose, Dr Iadh Ounis, Prof C J (Keith) van Rijsbergen.
Research Fellows: Dr Sachi Arafat, Dr Ronan Cummins, Dr Leif Azzopardi.
Research Assistants and Research Students: Dr Iraklis Angelos Klampanos, Mr Teerapong Leelanupab, Dr Craig Macdonald, Mr Richard McCreadie, Mr Andrew McHugh, Mr Yashar Moshfeghi, Mr Jie Peng, Mr Rodrygo Santos, Mr Vassilios Stathopoulos, Mr Ke Zhou, Mr Guido Zuccon.
Keywords: Theoretical development of probabilistic and logic-based models; multimedia IR systems; information analysis and access across media; evaluation and usability of IR systems; data mining of large data sets; Web information retrieval; citation/link analysis; implementation and evaluation of large-scale IR systems; performance prediction and optimisation; information retrieval in context; multilingual retrieval; interaction techniques based on implicit relevance feedback and summarisation; adaptive information retrieval; Intranet/Enterprise and Blog search.