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

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  • Carol Lundquist
  • Ophir Frieder
  • David O. Holmes
  • David Grossman

Abstract

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.

Suggested Citation

  • Carol Lundquist & Ophir Frieder & David O. Holmes & David Grossman, 1999. "A parallel relational database management system approach to relevance feedback in information retrieval," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(5), pages 413-426.
    • Handle: RePEc:bla:jamest:v:50:y:1999:i:5:p:413-426
    DOI: 10.1002/(SICI)1097-4571(1999)50:53.0.CO;2-4
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