JOURNAL ARTICLE
Geographic information retrieval (GIR) ranking methods for digital libraries
Abstract
This demo will presents results from an evaluation of algorithms forranking 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 minimumbounding rectangles, convex hulls, and complex polygons.
Keywords:
Ranking (information retrieval) Information retrieval Computer science Relevance (law) Geographic information system Logistic regression Data mining Artificial intelligence Geography Cartography Machine learning
Metrics
8
Cited By
1.39
FWCI (Field Weighted Citation Impact)
0
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Data Management and Algorithms
Physical Sciences → Computer Science → Signal Processing
Geographic Information Systems Studies
Social Sciences → Social Sciences → Geography, Planning and Development
Data Mining Algorithms and Applications
Physical Sciences → Computer Science → Information Systems
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