Machine Learning for User Behaviour Prediciton in Mobile Games

With the growth of the social networks and mobile gaming devices in recent years, the social gaming
became an important part of the game industry. These social games provide huge amount of data
about the users’ behaviors, an important issue for the gaming companies is to analyze this data and
model the choices and behavior of the users and based on this model they try to improve their product
and predict the behaviors of their users. The expected benefit to the partner organization is the
research and adaption of new techniques for modeling user behaviour for social gaming

Faculty Supervisor:

Greg Mori

Student:

Partner:

East Side Games

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

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