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:

Dr. Greg Mori

Student:

Amirhossein Bakhtiarikouhsorkhi

Partner:

East Side Games

Discipline:

Engineering - computer / electrical

Sector:

Digital media

University:

Simon Fraser University

Program:

Accelerate

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