8.5 Summary
This chapter has summarized the major research carried out under the guise of “automated information retrieval.” The common thread has been a focus on algorithmic approaches to improving indexing and retrieval, with a particular focus on techniques that utilize words in documents and statistical measures applied to them. The evaluative results, mostly coming from the TREC initiative, show consistent benefit for a variety of approaches, such as certain types of term weighting, passage retrieval, and query expansion. However, the sections describing the results of Web and interactive searching results should temper those conclusions, since it is not clear that the approaches studies provide much benefit for real users. Continued user-oriented evaluation must take place to define the optimal uses of these techniques.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2003 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
(2003). Lexical-Statistical Systems. In: Information Retrieval. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/0-387-22678-8_8
Download citation
DOI: https://doi.org/10.1007/0-387-22678-8_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95522-3
Online ISBN: 978-0-387-22678-1
eBook Packages: Springer Book Archive