Abstract
Evaluation of personal search over an individual’s personal information space on the desktop or elsewhere is problematic for reasons relating both to the personal and private nature of the data and the associated personal information needs of collection owners. Indeed challenges associated with evaluation in this space are recognised as one of the key factors hindering the development of research in personal information retrieval. We present the “personal information retrieval evaluation (PIRE)” tool, which provides a solution to this evaluation problem using a ‘living laboratory’ approach. This tool allows for the evaluation of retrieval techniques using ‘real’ individuals’ personal collections, queries and result sets, in a cross-comparable repeatable way, while importantly maintaining an individual’s informational privacy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kelly, D., Dumais, S., Pedersen, J.O.: Evaluation Challenges and Direction for Information-Seeking Support Systems. IEEE Computer 42(3), 60–66 (2009)
Kim, J., Croft, W.B.: Retrieval experiments using pseudo-desktop collections. In: Proceedings of CIKM 2009, pp. 1297–1306 (2009)
Manning, C., Raghavan, P., Schutze, H.: An Introduction to Information Retrieval. Cambridge University Press (2009)
Soules, C.A.N., Ganger, G.R.: Connections: Using Context to Enhance File Search. In: Proceedings of SOSP 2005, pp. 119–132 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kelly, L., Bunbury, P., Jones, G.J.F. (2012). Evaluating Personal Information Retrieval. In: Baeza-Yates, R., et al. Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28997-2_60
Download citation
DOI: https://doi.org/10.1007/978-3-642-28997-2_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28996-5
Online ISBN: 978-3-642-28997-2
eBook Packages: Computer ScienceComputer Science (R0)