Abstract
The innovative brand "The internet of Me" is a recent research area that highlight the prevalence of personalization across the internet and focuses on the user habits and actions tracked from his interaction with the web content. This paradigm presents an efficient way to define the user experience, preferences useful in e-commerce, marketing, social and search purpose. In this paper we are interested in the integration of the advances of user profile in information retrieval systems by predicting the user preferences from his user interaction with social content. These data are exploited and modeled to be used for tailoring the query interpretation for the user and delivering more relevant and accurate results for the user.
As for as the experiments, our proposed approach of user profile modeling shows promising results applied for the personalization of a defined set of ambiguous queries retained by thirty users having different profiling characteristics.