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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(More)
Since the use of relevance f&back in information retrieval to impmve precision and recall was first proposed in the Iate-1960's, many different techniques have been used to improve the results obtained from relevance feedback. Siice most information retrieval systems perfbrming relevance feedback use combinations of several techniques, the individual(More)
This paper is concerned with the, by now rather well studied, problem of integrated road geometry estimation and vehicle tracking. The main differences to the existing approaches are that we make use of an improved host vehicle model and a new dynamic model for the road. The problem is posed within a standard sensor fusion framework, allowing us to make(More)
For TREC-5, we enhanced our existing prototype that implements relevance ranking using the AT&T DBC-1012 Model 4 parallel database machine to include relevance feedback. We identified SQL to compute relevance feedback and ran several experiments to identify good cutoffs for the number of documents that should be assumed to be relevant and the number of(More)
In TREC-6, we participated in both the automatic and manual tracks for category A. For the automatic runs, we used the short versions of the queries and enhanced our existing prototype by expanding the relevance feedback methodology to include additional term weighting methods (i.e., the typical " ltc-lnc " or " nidf " weights) as well as feedback term(More)
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(More)
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