Geographic information retrieval (GIR) ranking methods for digital libraries

This demo presents results from an evaluation of algorithms for ranking results by probability of relevance for geographic information retrieval (GIR) applications. We 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.