The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
PageRank, HITS and a unified framework for link analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
GeoSearcher: location-based ranking of search engine results
Journal of the American Society for Information Science and Technology
Query-independent evidence in home page finding
ACM Transactions on Information Systems (TOIS)
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Google's PageRank and Beyond: The Science of Search Engine Rankings
Google's PageRank and Beyond: The Science of Search Engine Rankings
Topical link analysis for web search
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A query-aware document ranking method for geographic information retrieval
Proceedings of the 4th ACM workshop on Geographical information retrieval
Geographically-Sensitive Link Analysis
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Geographical information retrieval
International Journal of Geographical Information Science
Retrieving address-based locations from the web
Proceedings of the 2nd international workshop on Geographic information retrieval
Adaptive geospatially focused crawling
Proceedings of the 18th ACM conference on Information and knowledge management
Relevance and ranking in geographic information retrieval
FDIA'11 Proceedings of the Fourth BCS-IRSG conference on Future Directions in Information Access
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The ranking problem in geospatial Web search has traditionally been focused towards query dependent relevance, i.e., the combination of textual and geographic similarity of pages with respect to query text and footprint. The query independent relevance which is also known as the popularity or significance of a page is a valuable aspect of generic Web search ranking. But the research progression or the formalization of query independent significance for geospatial Web search has been limited to the basic adaption of general popularity of pages. In this paper, we discuss how several location sensitive properties could alter the significance of geospatial Web pages. We particularly argue the significance of pages with respect to categorical, regional, and granular criterions. We analyze these criterions over a huge geospatial Web graph of different German cities, and perform some small-scale evaluations of our approach. We derive some valuable heuristics on the link structure of geospatial Web that can be used in the ranking formulation, or to cater certain contextual information needs from end-user of a geospatial Web search system.