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

Carol Lundquist, Ophir Frieder, David O. Holmes, David Grossman
1999 Journal of the American Society for Information Science  
A scalable, parallel, relational-database driven information retrieval engine is described. To support portability across a wide-range of execution environments, including parallel multicomputers, all algorithms strictly adhere to the SQL-92 standard. By incorporating relevance feedback algorithms, accuracy was significantly enhanced over prior database-driven information retrieval efforts. Algorithmic modifications to our earlier prototype resulted in significantly enhanced scalability.
more » ... ly our information retrieval engine sustains near-linear speedups using a 24-node parallel database machine. Experiments using the TREC data collections are presented to validate the described approaches.
doi:10.1002/(sici)1097-4571(1999)50:5<413::aid-asi4>3.3.co;2-w fatcat:x5d2yj33xzf6bbhc5zhs6escyu