Section: Bilateral Contracts and Grants with Industry

TBS

Participants : Jérémie Mary, Philippe Preux.

A new project has started on September 2012 in collaboration with the TBS company. The goal is to understand and predict the audiences of some news related websites. These websites tend to present an ergodic frequentation with respect to a context. The main goal is to separate the effect of the context (big events, election, ...) and the impact of the policies of the news websites. This research is done using data from major french media websites and also involves research of tendances on the web (like Google Trends/ Google Flu). Used algorithms mix methods from time series prediction (ARIMA and MARSS models) and some machine learning methods (L1 penalization, SVM).