Publication | Closed Access
A query-aware document ranking method for geographic information retrieval
42
Citations
5
References
2007
Year
Unknown Venue
EngineeringGeographic Information RetrievalQuery ModelQuery ProcessingDynamic DocumentText MiningInformation RetrievalData ScienceData MiningRelevance FeedbackGeographic DimensionsData RetrievalQuery ExpansionContent AnalysisStatisticsSearch TechnologyGeographyKnowledge DiscoverySearch Engine DesignQuery Specificity
Geographically oriented search must consider both the thematic and geographic dimensions of relevance when matching documents to queries. We propose a dynamic document ranking scheme to combine the thematic and geographic relevance measures on a per-query basis. Query specificity is introduced to determine the relative weights of different sources of ranking evidence for each query. A preliminary evaluation comparing with human judgment shows that our method to distinguish different types of geo-referenced queries based on query specificity is promising to address the issue of relevance combination in GIR document ranking. In addition, we explore the possibility of using Dempster-Shafer's theory to combine the two different sources of ranking evidence.
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