A parallel relational database management system approach to relevance feedback in information retrieval

A scalable, parallel, relational database‐driven information retrieval engine is described. To support portability across a wide‐range of execution environments, including parallel machines, all algorithms strictly adhere to the SQL‐92 standard. By incorporating relevance feedback algorithms, accura...

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Vydáno v:Journal of the American Society for Information Science Ročník 50; číslo 5; s. 413 - 426
Hlavní autoři: Lundquist, Carol, Frieder, Ophir, Holmes, David O., Grossman, David
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York John Wiley & Sons, Inc 1999
John Wiley & Sons
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ISSN:0002-8231, 1097-4571
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Shrnutí:A scalable, parallel, relational database‐driven information retrieval engine is described. To support portability across a wide‐range of execution environments, including parallel machines, all algorithms strictly adhere to the SQL‐92 standard. By incorporating relevance feedback algorithms, accuracy is enhanced over prior database‐driven information retrieval efforts. Algorithmic modifications to our earlier prototype resulted in significantly enhanced scalability. Currently our information retrieval engine sustains near‐linear speedups using a 24‐node parallel database machine. Experiments using the TIPSTER data collections are presented to validate the described approaches.
Bibliografie:ArticleID:ASI4
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content type line 23
ISSN:0002-8231
1097-4571
DOI:10.1002/(SICI)1097-4571(1999)50:5<413::AID-ASI4>3.0.CO;2-4