To research will help Tap for Tap to generate and collect information on user behavior that can help improve their matching algorithms. The core of the work consists in analyzing a large dataset of app users’ responses to advertising. Clearly, much of this search for determinants of successful matching will be statistical in nature. Still, this search will also be guided by an alert eye on the mechanisms that may lie behind the relationships uncovered in the data. Many mechanisms have been documented in the computer science, economics and marketing literatures and could prove to be useful in the interpretation of the evidence. At this early point in the research, it is not clear what mechanisms will prove relevant. Still, to make the connections with the academic literature clear, we briefly discuss three examples. The intern will dedicate most of her time analyzing this information using statistical models that leverage the random variations that have been introduced in the matching generation process. Finally, the intern will make recommendations to improve the matching algorithm.
Dr. Pascal Courty
Tap for Tap Promotions Inc.
Information and communications technologies
University of Victoria
Find the perfect opportunity to put your academic skills and knowledge into practice!Find Projects
The strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.