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Generating predictive models from advertisements
We want to analyze the data collected about customers in order to better understand their behavior. Such an analysis could reveal which advertisements are more likely to interest the customers, what is the return on investment of an advertisement and what are the advertisements tactics that are the most successful. The advances in machine learning, in statistics, and in computer science allows to extract his knowledge from large data bases often called: big data.
Faculty Supervisor:
Claude-Guy Quimper
Student:
Partner:
Cossette
Discipline:
Computer science
Sector:
Information and Communications Technology; Entertainment and Media; Commercial Services
University:
Université Laval
Program:
Accelerate
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