NDLI: Exploiting Manual Indexing to Improve Collection Selection and Retrieval Effectiveness

Content Provider	Springer Nature Link
Author	French, James C. Powell, Allison L. Gey, Fredric Perelman, Natalia
Copyright Year	2002
Abstract	Vocabulary incompatibilities arise when the terms used to index a document collection are largely unknown, or at least not well-known to the users who eventually search the collection. No matter how comprehensive or well-structured the indexing vocabulary, it is of little use if it is not used effectively in query formulation. This paper demonstrates that techniques for mapping user queries into the controlled indexing vocabulary have the potential to radically improve document retrieval performance. We also show how the use of controlled indexing vocabulary can be employed to achieve performance gains for collection selection. Finally, we demonstrate the potential benefit of combining these two techniques in an interactive retrieval environment. Given a user query, our evaluation approach simulates the human user's choice of terms for query augmentation given a list of controlled vocabulary terms suggested by a system. This strategy lets us evaluate interactive strategies without the need for human subjects.
Starting Page	323
Ending Page	351
Page Count	29
File Format	PDF
ISSN	13864564
Journal	Information Retrieval
Volume Number	5
Issue Number	4
e-ISSN	15737659
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2002-01-01
Publisher Place	Boston
Access Restriction	Subscribed
Subject Keyword	Data Structures, Cryptology and Information Theory Management of Computing and Information Systems
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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