Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Synchronous collaborative information retrieval: techniques and evaluation

Foley, Colum and Smeaton, Alan F. (2009) Synchronous collaborative information retrieval: techniques and evaluation. In: ECIR 2009 - 31st European Conference on Information Retrieval, 6-9 April 2009, Toulouse, France. ISBN 978-3-642-00957-0

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need. To date most SCIR systems have focussed on providing various awareness tools in order to enable collaborating users to coordinate the search task. However, requiring users to both search and coordinate the group activity may prove too demanding. On the other hand without effective coordination policies the group search may not be effective. In this paper we propose and evaluate novel system-mediated techniques for coordinating a group search. These techniques allow for an effective division of labour across the group whereby each group member can explore a subset of the search space.We also propose and evaluate techniques to support automated sharing of knowledge across searchers in SCIR, through novel collaborative and complementary relevance feedback techniques. In order to evaluate these techniques, we propose a framework for SCIR evaluation based on simulations. To populate these simulations we extract data from TREC interactive search logs. This work represent the first simulations of SCIR to date and the first such use of this TREC data.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:The original publication is available at
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in:Advances in Information Retrieval. Lecture Notes in Computer Science 5478. Springer Berlin / Heidelberg. ISBN 978-3-642-00957-0
Publisher:Springer Berlin / Heidelberg
Official URL:
Copyright Information:© Springer-Verlag Berlin Heidelberg 2009
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology, Science Foundation Ireland
ID Code:4503
Deposited On:22 Apr 2009 15:04 by Colum Foley. Last Modified 16 Jan 2017 14:26

Download statistics

Archive Staff Only: edit this record