Conference Paper

Using the geographic scopes of web documents for contextual advertising.

DOI: 10.1145/1722080.1722103 Conference: Proceedings of the 6th Workshop on Geographic Information Retrieval, GIR 2010, Zurich, Switzerland, February 18-19, 2010
Source: DBLP

ABSTRACT Geotargeting is a specialization of contextual advertising where the objective is to target ads to Website visitors concentrated in well-defined areas. Current approaches involve targeting ads based on the physical location of the visitors, estimated through their IP addresses. However, there are many situations where it would be more interesting to target ads based on the geographic scope of the target pages, i.e., on the general area implied by the locations mentioned in the textual contents of the pages. Our proposal applies techniques from the area of geographic information retrieval to the problem of geotargeting. We address the task through a pipeline of processing stages, which involves (i) determining the geographic scope of target pages, (ii) classifying target pages according to locational relevance, and (iii) retrieving ads relevant to the target page, using both textual contents and geographic scopes. Experimental results attest for the adequacy of the proposed methods in each of the individual processing stages.

0 Bookmarks
 · 
59 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Location Based Services (LBS) belong to the most popular type of mobile applications today. Most of the content in LBS has to be created from scratch and needs to be explicitly location-tagged, which makes existing web content not directly usable for LBS. In this paper we aim at making websites location-aware and feed this information to LBS. For this purpose we first present SALT, an engine that receives websites as input and equips them with location-tags. Compared to other approaches, SALT is capable of extracting locations with a precision up to the street level. While the engine basically works unsupervised, it is also capable to handle user-feedback to improve the results. Second, we present Webnear.me as a use case of SALT. Webnear.me offers location-aware web surfing through a mobile website. It displays nearby websites depending on: 1) the user's current location and 2) the currently visited website. Finally we show that our application has a high acceptance from users through a formative user study.
    Procedia Computer Science. 10:601–608.

Full-text

View
0 Downloads
Available from