Title :
Geographic information retrieval (GIR) ranking methods for digital libraries
Author :
Larson, Ray R. ; Frontiera, P.
Author_Institution :
Sch. of Inf. Manage. & Syst., California Univ., Berkeley, CA, USA
Abstract :
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.
Keywords :
digital libraries; geographic information systems; probability; relevance feedback; visual databases; digital libraries; geographic information retrieval; geographic regions; logistic regression; relevance probability; spatial databases; Information retrieval; Software libraries;
Conference_Titel :
Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on
Print_ISBN :
1-58113-832-6
DOI :
10.1109/JCDL.2004.1336219
