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Maintaining retrieval effectiveness ...

Viles, Charles Lowell.

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Maintaining retrieval effectiveness in distributed, dynamic information retrieval systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Maintaining retrieval effectiveness in distributed, dynamic information retrieval systems./
Author:	Viles, Charles Lowell.
Description:	146 p.
Notes:	Source: Dissertation Abstracts International, Volume: 57-08, Section: B, page: 5170.
Contained By:	Dissertation Abstracts International57-08B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9701335
ISBN:	059107592X

Maintaining retrieval effectiveness in distributed, dynamic information retrieval systems.
Viles, Charles Lowell.

Maintaining retrieval effectiveness in distributed, dynamic information retrieval systems. - 146 p.

Source: Dissertation Abstracts International, Volume: 57-08, Section: B, page: 5170.

Thesis (Ph.D.)--University of Virginia, 1996.

We present a rigorous empirical study investigating how allowing the use of subset-derived collection statistics influences retrieval effectiveness. We give a generic model for searching a document collection that allows for the use of collection statistics derived from a subset of the collection. Within this model, we identify two realistic scenarios requiring the use of subset-derived collection statistics. The first involves distributed document databases and the second involves ad-hoc search in dynamic document databases.

ISBN: 059107592XSubjects--Topical Terms:

626642
Computer Science.

Maintaining retrieval effectiveness in distributed, dynamic information retrieval systems.
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100 1 $a Viles, Charles Lowell. $3 1937278
245 1 0 $a Maintaining retrieval effectiveness in distributed, dynamic information retrieval systems.
300 $a 146 p.
500 $a Source: Dissertation Abstracts International, Volume: 57-08, Section: B, page: 5170.
500 $a Adviser: James C. French.
502 $a Thesis (Ph.D.)--University of Virginia, 1996.
520 $a We present a rigorous empirical study investigating how allowing the use of subset-derived collection statistics influences retrieval effectiveness. We give a generic model for searching a document collection that allows for the use of collection statistics derived from a subset of the collection. Within this model, we identify two realistic scenarios requiring the use of subset-derived collection statistics. The first involves distributed document databases and the second involves ad-hoc search in dynamic document databases.
520 $a We view the distributed document archive as a set of collections the members of which know about some fraction of the other members in the archive. Document collections are built empirically using standard IR test collections and parametrically assigning these documents to a collection in the system. Our results show that content-skew has a pronounced negative affect on retrieval effectiveness. Content-skew is the degree to which the holdings at a particular site differ from those at another site or a globally-defined "central" site. Highly skewed document collections require more knowledge about the global collection than those that are content-uniform. However, even in highly skewed systems, sites can know about a relatively small fraction of the holdings at other sites without pronounced degradations in search quality.
520 $a We model the dynamic document archive as two collections, an "old" collection with complete statistics available, and a "new" collection composed of recently inserted documents that have not yet been incorporated into the document index and collection statistics. Our results show that retrieval effectiveness is maintained for "new" collections of realistic size when statistics from the "old" collection are used. The only problematic situation is when terms are introduced into the "new" collection that are not contained in the "old" collection.
520 $a We also give two methods for measuring content skew directly, one based on topic identification and the other based on the well-known inverse document frequency statistics. We use one or both of these methods to measure the content-skew of three kinds of document archives: our empirically defined collections, the TREC collection, and the Networked Computer Science Technical Report Library (NCSTRL), an operational distributed archive.
590 $a School code: 0246.
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650 4 $a Library Science. $3 881164
650 4 $a Information Science. $3 1017528
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710 2 0 $a University of Virginia. $3 645578
773 0 $t Dissertation Abstracts International $g 57-08B.
790 1 0 $a French, James C., $e advisor
790 $a 0246
791 $a Ph.D.
792 $a 1996
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9701335