User Modeling to Build Mobile Advertising Algorithm

Digital signage is a form of electronic display that presents information, advertising and other messages. With the merge of mobile technology and exponential growth of broadcasting network, an overwhelmingly amount of digital signage has been made available to dissimilar consumers. This paper presents an algorithm based on Naive-Bayes technique to build a user modelling to be used for recommending a suitable signage to customers. Our goal is to personalize signage by choosing the proper products to the proper customers. This way is promising to present an automated algorithm to create an adaptable content which can be exchanged more easily and the signs can adapt to the context and audience.