CCP Games
Player lifetime value for a computer game
Description
We want to build a player-level lifetime value (LTV) model that predicts how much value a player is likely to generate over a future time window and compare it to simpler cohort-based approaches (average value curves by acquisition period/segment). The goal is to understand when player-level prediction adds real value over cohorts, and what it costs in terms of complexity and maintenance.
How applications work
- Sign in with your University student account and send a short application.
- The assigned supervisor receives your application and contacts you if more information is needed.
- Follow the decision in My applications. You will also receive an email when the status changes.
Response times vary by project. Contact the supervisor for an update; submitting an application does not reserve a place.
Additional information
Qualifications: This project is suitable for Master’s students in computer science at the University of Iceland with a strong foundation in programming and a solid understanding of AI and deep neural networks. Applicants must have completed at least one of the following courses: Machine Learning (REI505M), Introduction to Deep Neural Networks (TÖL506M), or The AI Lifecycle (REI603M). Applicants are expected to have a good understanding of the material covered in the completed course/courses.