CCP Games
Player lifetime value for a computer game
Lýsing
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.
Umsóknarferlið
- Skráðu þig inn með nemendaaðgangi Háskóla Íslands og sendu stutta umsókn.
- Leiðbeinandi verkefnisins fær umsóknina og hefur samband ef frekari upplýsinga er þörf.
- Fylgstu með afgreiðslu undir Umsóknir mínar. Þú færð einnig tölvupóst þegar staðan breytist.
Svartími fer eftir verkefni. Hafðu samband við leiðbeinanda til að fá stöðuna; umsókn tryggir ekki þátttöku í verkefni.
Aðrar upplýsingar
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.