Application-Driven Web Resource Location Classification and Detection Chuang Wang*, Xing Xie †, Lee Wang ‡, Yansheng Lu*, Wei-Ying Ma † †Microsoft Research Asia, 5F, Sigma Center, No. 49, Zhichun Road, Beijing, 100080, P.R China {xingx, wyma}@microsoft.com ‡Microsoft Corporation, One Microsoft Way, Redmond, WA 98052, USA
[email protected] *Department of Computer Science, Huazhong University of Science & Technology, Wuhan, 430074, P.R. China {chwang, ysl}@mail.hust.edu.cn ABSTRACT 1. INTRODUCTION Rapid pervasion of the web into users’ daily lives has put much Intuitively, web resources (including web pages, sites, etc.) have importance on capturing location-specific information on the web, geographical features [3][8][14][20][21][22]. For instance, a web due to the fact that most human activities occur locally around page with information about or within a special geographical where a user is located. This is especially true in the increasingly scope, such as listings on houses for sale in a given region, could popular mobile and local search environments. Thus, how to be regarded as a local page with a certain location. In contrast, correctly and effectively detect locations from web resources has another page with general information, such as an introduction of become a key challenge to location-based web applications. mathematics knowledge that is more likely to interest users from Previous work has been focusing on deducing web locations from any locations, could be considered as a global page. various geographical sources such as geographical names, postal codes, telephone numbers, and so on. None of them, however, With rapid pervasion of the web into users’ daily lives, in the notice the intrinsic differences between application needs for increasingly popular mobile and local search environments, different types of locations.