For example, if the search engine's United States web site, which is considered as one of the most important markets in the world, was to employ such an approach, it'd only receive 74.9% accuracy by misclassifying the English queries entered from countries for which the default language is not English.
when this geographical information is used as a feature in our decision tree framework, we get a very high boost on the accuracy of the results for all the languages.