Using statistical data for context sensitive pervasive advertising

Smartphones are available anytime and anywhere, enabling applications to determine the user location. In a previous work, we demonstrate how we ca use this information for inferring the age, gender, and social class based on the places visited by the user. In this work, we investigate the hypothesis that it is possible to deliver relevant advertisements based on statistical data, associated with basic customer information inferred from location. To validate our hypothesis, we conducted an experiment comparing the relevance of the advertisements of our approach with collaborative filtering.