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Krichel, T. Information retrieval performance measures for
a current awareness report composition aid, 2006. [Preprint].
See the references list of this item
Citable URI:
http://hdl.handle.net/10760/7675
Files in This Item:
| File |
Description |
Size | Format | Visibility |
| sendai.pdf | | 170.19 kB | Adobe PDF | View/Open
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| Author(s): | Krichel, Thomas |
| Title: | Information retrieval performance measures for
a current awareness report composition aid |
| Subjects: | I. Information treatment for information services > II. Filtering |
| Date: | 2006 |
| Abstract: | This papers studies a special ``small'' information retrieval problem where user satisfaction only depends on the ordering of documents. We look for a retrieval performance measure applicable for this setting. We define some requirements for such a measure. We develop a theoretical ordering of all outcomes. We look at some standard and purpose-build measures and assess them against the requirements. We conclude that a linear combination of two such measures is adequate. |
| Alternative Locations: | http://openlib.org/home/kichel/papers/sendai.pdf |
| Keywords: | information retrieval, performance evaluation, current awareness |
| Country: | United States |
| Type: | Preprint |
| Rights: | http://eprints.rclis.org/copyright/ |
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References
- Barrueco Cruz, J. M., Krichel, T., Trinidad Christensen, J. C., 2003. Organizing current awareness in a large digital library, presented at the 2003 Conference on Users in the Electronic Information Environments, in Espoo, Finland and at the II Jornadas de Tratamiento y Recuperacion de la Informacion
- , in Leganes, Spain, both on September 8, 2003, available at http://openlib.org/home/krichel/papers/espoo.pdf.
- Brookes, B. C., 1968. The measure of information retrieval effectiveness pro-posed by Swets. Journal of Documentation 24, 4154.Cooper, W. S.,1968. Expec
- ted search length: A single measure of retrieval effectiveness based on the weak ordering action of retrieval systems. Journal of American Society of Information Science 19, 3041.
- Cooper, W. S., 1973. On selecting a measure of retrieval effectiveness. part i the "subjective philosophy" of evaluation. Journal of the American Society for Information Science 24 (87100).
- Ginsparg, P., Houle, P., Joachims, T., Sul, J.-H., 2004. Mapping subsets of scholarly information. Proceedings of the ational Academy of Sciences of the USA 101, 52365240, available at http://arxiv.org/abs/cs.IR/0312018.
- Joachims, T., 1999. Making large-scale svm learning practical. In: Schalkopf,B., Burges, C., Smola, A. J. (Eds.), Advances in Kernel Methods. Support Vector Learning. MIT Press.
- Krichel, T., Bakkalbasi, N., 2005. Developing a predictive model of editor selectivity in a current awareness serviceof a large digital library. Library and Information Science Research 27 (4), 440452.
- Losee, R. M., 1998. Text Retrieval and Filtering: Analytic Models of Performance. Kluwer, Boston.Shaw, W. M., 1986. On the foundation of evaluation. Journal of the American Society for Information Science 37 (5), 346348.
- Swets, J. A., 1963. Information retrieval system. Science 141 (3577), 245250.
- Van Rijsbergen, C. K., 1974. Foundation of evaluation. Journal of Documentation 30 (4), 365373.
- Vapnik, V. N., 1995. The Nature of Statistical Learning Theory. Springer.
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