with machine learning
Our semantic algorithm automatically create a link between a web user and keywords (from a news, a content, or a product sheet). The collected data is then processed in a multi-object graph.
Our powerful predictive algorithms allow us to detect every web user’s intentions. We calculate and assign a Q score for each relationship between an individual and an object (ie. product, brand, subject, person, …).
These scores are updated in real time and allow our customers to offer personalized user experiences (on a website, mobile app or in emails) or to create personalized pretargeting campaigns.
Through a permanent and automatic machine learning process, our predictive algorithms are continuously optimized for future recommendations.