Using latent semantic analysis to improve access to textual information
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cheshire II: designing a next-generation online catalog
Journal of the American Society for Information Science - Special issue: current research in online public access systems
Implementation of the SMART Information Retrieval System
Implementation of the SMART Information Retrieval System
Pharos: a scalable distributed architecture for locating heterogeneous information sources
Pharos: a scalable distributed architecture for locating heterogeneous information sources
Proceedings of the 10th international conference on World Wide Web
Evaluation of Text Retrieval Systems
Programming and Computing Software
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This paper describes some of the work we have done to evaluate and compare the use of three IR systems (Verity, LSI, and SMART) as black boxes within an automated classification environment. We use automated classification to make a quantitative comparison of the effectiveness of the systems within this context. In so doing, we also develop criteria for the construction of a useful training set. These results lead to metrics useful in the integration of IR systems into larger applications. We conclude with an initial API for an IR component within an automated classification architecture.