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Interactive Information Retrieval is concerned with the development of user-centred information systems to support access to large repositories of information objects.

We are particularly interested in developing systems that support human strategies for finding information. This brings in a wide range of research including theoretical research on the design and modelling of information access systems, empirical research on interfaces, machine learning techniques to support tasks such as question answering and user interaction and research on the methodology of evaluating information access systems.

Recent research has investigated how people assess results from search engines, new interfaces for children's information interaction, new systems for personal information management, new approaches for semantic question answering and interfaces for social digital libraries.

Contact: Professor Ian Ruthven