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Mobiquity Announces Long-Term Research Partnership With The Vrije Universiteit Amsterdam To Drive Digital Innovation

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Digital Engagement Provider To Sponsor Ph.D. Studies On Machine Learning And Motivational Interactions

Mobiquity, a digital engagement provider for the Fortune 500, today announced a four-year research partnership with the Vrije Universiteit (VU) Amsterdam to drive digital innovation. The company will collaborate with the VU’s Computational Intelligence Group as it scientifically co-supervises and financially sponsors Ph.D. student research in the fields of machine learning and motivational interactions in digital environments. Through this research, the partners plan to demonstrate how analytics can improve mobile user satisfaction by means of novel machine learning techniques.

“Mobiquity believes in the importance of promoting unbiased research as a necessary step in leading digital innovation in healthcare and other industries,” said Nesko Jancic, Mobiquity’s Managing Director of Advanced Analytics and business sponsor of the research. “Combined with our experience working with top brands, the research findings will enable us to help our clients deepen user engagement through their digital solutions and realize meaningful business results.”

The joint research will focus on how the development of analytics that underpin mobile applications, along with machine learning techniques, can be used to deliver increasingly personalized experiences. As indicated by its client experience, Mobiquity believes that hyper-personalization will lead to a more engaged user, ultimately augmenting user satisfaction.

The partners strive to accomplish two main objectives with their research. First, they intend to develop methods that would allow a mobile application to intelligently select interventions from a predefined set to support a particular user. Second, they seek for the mobile application to choose these interventions based on predictions of user statuses. In doing so, they would be enabling mobile applications to learn when and how to apply the intervention that best suits a user with respect to a particular goal or purpose. Moreover, such mobile applications would rapidly adjust as the user continues to interact…

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