Paper Info
Title
Geographically-Sensitive Link Analysis
Abstract
Many web pages and resources are primarily relevant to certain geographic locations. For example, in many queries web pages on restaurants, hotels, or movie theaters are mostly relevant to those users who are in geographic proximity to these locations. Moreover, as the number of queries with a local component increases, searching for web pages which are relevant to geographic locations is becoming increasingly important. The performance of geographically-oriented search is greatly affected by how we use geographic information to rank web pages. In this paper, we study the issue of ranking web pages using geographically-sensitive link analysis algorithms. More precisely, we study the question of whether geographic information can improve search performance. We propose several geographically-sensitive link analysis algorithms which exploit the geographic linkage between pages. We empirically analyze the performance of our algorithms.
Year
DOI
Venue
2007
10.1109/WI.2007.112
Web Intelligence
Keywords
Field
DocType
geographically-sensitive link analysis algorithm,geographic information,geographic location,geographic information systems,ranking web page,web pages,certain geographic location,geographically-oriented search,queries web page,geographically-sensitive link analysis,internet,geographic locations,geographic proximity,geographic linkage,web page,query processing,search performance,web services,ontology,information extraction,semantic web,link analysis
Geographic information system,Data mining,World Wide Web,HITS algorithm,Web page,Information retrieval,Link analysis,Computer science,Semantic Web,Information extraction,Web service,The Internet
Conference
ISBN
Citations 
PageRank 
978-0-7695-3026-0
6
0.51
References 
Authors
12
3
Name
Order
Citations
PageRank
Hyun Chul Lee120515.50
Haifeng Liu217811.90
Renée J. Miller33545373.59