Process of Personalizing the Ubiquitous Advertisements

In this paper, we propose an approach combining behavioral and targeting techniques for a better reaction of the customer with a star product using a personalized ubiquitous advertisement. We use the clustering to study the customer's behavior and the association rules to estimate the probability of star product's purchases in the near future. In order to validate our approach, we develop a prototype to send a personalized advertisement to loyal customers and potential customers in ubiquitous environment. Each target receives the advertising according his classification and his degree of loyalty obtained by the behavioral analysis. Loyal customers are the first to receive the personalized advertising in the ubiquitous environment.