A proactive personalised retrieval system

Elliott, D. and Jose, J. (2009) A proactive personalised retrieval system. In: 18th ACM Conference on Information and Knowledge Management, Hong Kong, 2-6 Nov 2009, pp. 1935-1938. ISBN 9781605585123 (doi: 10.1145/1645953.1646269)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1145/1645953.1646269

Abstract

We present a personalised retrieval system that captures explicit relevance feedback to build an evolving user profile with multiple aspects. The user profile is used to proactively retrieve results between search sessions to support multi-session search tasks. This approach to supporting users with their multi-session search tasks is evaluated in a between-subjects multiple time-series study with ten subjects performing two simulated work situation tasks over five sessions. System interaction data shows that subjects using the personalised retrieval system issue fewer queries and interact with fewer results than subjects using a baseline system. The interaction data also shows a trend of subjects interacting with the proactively retrieved results in the personalised retrieval system.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Elliott, Mr Desmond
Authors: Elliott, D., and Jose, J.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781605585123

University Staff: Request a correction | Enlighten Editors: Update this record