Unified Classification Model for Geotagging Websites

The paper presents a novel approach to finding regional scopes (geotagging) of websites. It relies on a single binary classification model per region type to perform the multiclass classification and uses a variety of features of different nature that have not been yet used together for machinelearning based regional classification of websites. The evaluation demonstrates the advantage of our one model per region type method versus the traditional one model per region approach.