přejít na obsah
Measures for evaluating automatic subject assignment of electronic resources Náhled dokumentu
ZavřítNáhled dokumentu
Probíhá kontrola...

Measures for evaluating automatic subject assignment of electronic resources

Autor Keith E Shafer; Srividhya Subramanian; Jon Fausey
Vydavatel: [Dublin, Ohio] : [OCLC], [1998?]
Vydání/formát:   e-kniha : Document : English
Databáze:WorldCat
Shrnutí:
Scorpion is a research project at OCLC Online Computer Library Center, Inc. building tools for automatic subject assignment by combining library science and information retrieval techniques. While Scorpion already produces good subject assignments for documents, it often returns some subjects that a person would not expect or find useful while searching for that document. We are continually seeking ways to remove  Přečíst více...
Hodnocení:

(ještě nehodnoceno) 0 zobrazit recenze - Buďte první.

Předmětová hesla:
Více podobných

 

Najít online exemplář

Odkazy na tento dokument

Vyhledat exemplář v knihovně

&AllPage.SpinnerRetrieving; Vyhledávání knihoven, které vlastní tento dokument...

Detaily

Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Keith E Shafer; Srividhya Subramanian; Jon Fausey
OCLC číslo: 54084501
Poznámky: Title from title screen (viewed Jan. 26, 2004).
Podrobnosti: Mode of access: Internet.
Odpovědnost: Keith Shafer, Srividhya Subramanian, Jon Fausey.

Anotace:

Scorpion is a research project at OCLC Online Computer Library Center, Inc. building tools for automatic subject assignment by combining library science and information retrieval techniques. While Scorpion already produces good subject assignments for documents, it often returns some subjects that a person would not expect or find useful while searching for that document. We are continually seeking ways to remove such unwanted results from the Scorpion output. This automatic clean up or filtering of Scorpion result sets has become a major focus for our research group. To determine if a filter is good, we must be able to determine if the filtered results are better than the unfiltered results. Unfortunately, it is difficult to evaluate large numbers of Scorpion results objectively or to determine when one Scorpion result set is better than another. This paper describes recent research to objectively evaluate the performance of Scorpion and work to compare Scorpion results to the human-assigned classifications in NetFirst.

Recenze

Recenze vložené uživatelem
Nahrávání recenzí GoodReads...
Přebírání recenzí DOGO books...

Štítky

Buďte první.

Podobné dokumenty

Související předmětová hesla:(3)

Potvrdit tento požadavek

Tento dokument jste si již vyžádali. Prosím vyberte Ok pokud chcete přesto v žádance pokračovat.

Propojená data


<http://www.worldcat.org/oclc/54084501>
library:oclcnum"54084501"
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/54084501>
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:bookFormatschema:EBook
schema:contributor
schema:contributor
schema:creator
schema:datePublished"1998"
schema:datePublished""
schema:description"Scorpion is a research project at OCLC Online Computer Library Center, Inc. building tools for automatic subject assignment by combining library science and information retrieval techniques. While Scorpion already produces good subject assignments for documents, it often returns some subjects that a person would not expect or find useful while searching for that document. We are continually seeking ways to remove such unwanted results from the Scorpion output. This automatic clean up or filtering of Scorpion result sets has become a major focus for our research group. To determine if a filter is good, we must be able to determine if the filtered results are better than the unfiltered results. Unfortunately, it is difficult to evaluate large numbers of Scorpion results objectively or to determine when one Scorpion result set is better than another. This paper describes recent research to objectively evaluate the performance of Scorpion and work to compare Scorpion results to the human-assigned classifications in NetFirst."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/13014404>
schema:inLanguage"en"
schema:name"Measures for evaluating automatic subject assignment of electronic resources"@en
schema:publisher
schema:url<http://orc.rsch.oclc.org:6109/measures.html>
schema:url

Content-negotiable representations

Zavřít okno

Prosím přihlaste se do WorldCat 

Nemáte účet? Můžete si jednoduše vytvořit bezplatný účet.