✦ LIBER ✦

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

✍ Scribed by Lundquist, Carol ;Frieder, Ophir ;Holmes, David O. ;Grossman, David

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 149 KB
Volume: 50
Category: Article
ISSN: 0002-8231
DOI: 10.1002/(sici)1097-4571(1999)50:5<413::aid-asi4>3.0.co;2-4

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✦ Synopsis

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.

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