Web resource geographic location classification and detection

Authors:
Chuang Wang;Xing Xie;Lee Wang;Yansheng Lu;Wei-Ying Ma
Affiliations:
Huazhong University of Sci. & Tech., Wuhan, P.R. China;Microsoft Research Asia, Beijing, P.R. China;Microsoft Corporation, Redmond, WA;Huazhong University of Sci. & Tech., Wuhan, P.R. China;Microsoft Research Asia, Beijing, P.R. China
Venue:
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Year:
2005

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Abstract

Rapid pervasion of the web into users' daily lives has put much importance on capturing location-specific information on the web, due to the fact that most human activities occur locally around where a user is located. This is especially true in the increasingly popular mobile and local search environments. Thus, how to correctly and effectively detect locations from web resources has become a key challenge to location-based web applications. In this paper, we first explicitly distinguish the locations of web resources into three types to cater to different application needs: 1) provider location; 2) content location; and 3) serving location. Then we describe a unified system that computes each of the three locations, employing a set of algorithms and different geographic sources.