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Fourth ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'04)
Tuscon, AZ, USA
June 07-June 11
ISBN: 1-58113-832-6
Ray R. Larson, University of California, Berkeley
Patricia Frontiera, University of California, Berkeley
This demo will presents results from an evaluation of algorithms for ranking results by probability of relevance for Geographic Information Retrieval (GIR) applications. We will demonstrate an algorithm for GIR ranking based on logistic regression from samples of the test collection. We also show the effects of different representations of the geographic regions being searched, including minimum bounding rectangles, convex hulls, and complex polygons.
Index Terms:
Geographic Information Retrieval
Citation:
Ray R. Larson, Patricia Frontiera, "Geographic Information Retrieval (GIR) Ranking Methods for Digital Libraries," jcdl, pp.415-415, Fourth ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'04), 2004
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