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Improving user experience with a social gaming platform: Identifying and adapting to significant user traits and behaviors
This project will involve using statistical modeling and machine learning techniques in order to identify significant factors that exist in user interaction logs collected from a social gaming system. Next, these factors will be used to inform, implement, and test an adaptive platform for managing and improving behaviors that relate to user experience and/or user retention.
Faculty Supervisor:
Dr. Cristina Conati
Student:
Dereck Toker
Partner:
East Side Games
Discipline:
Computer science
Sector:
Digital media
University:
University of British Columbia
Program:
Accelerate
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