DSIR: the First TREC-7 Attempt

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DSIR: the First TREC-7 Attempt
This paper describes our first large-scale retrieval attempt in TREC-7 using DSIR. DSIR is a vector space based retrieval system in which semantic similarity between words, documents and queries, is interpreted in terms of geometric proximity of vectors in a multi-dimensional space. A co-occurrence matrix computed directly from the collection is used to build the underlying semantic space. We have implemented DSIR on a cluster of lowcost PC Pentium-class machines, and chosen the PVM message-passing library to manage our distributed DSIR version. Although our first adhoc retrieval results are quite poor in terms of recall-precision measure, we believe that more work and experiments have to be explored in order to obtain more promising retrieval performance.
Arnon Rungsawang
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1998
Where TREC
Authors Arnon Rungsawang
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