Predicting Purchase Decisions in Mobile Free-to-Play Games
- Submitting institution
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University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 59974971
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15)
- First page
- 79
- Volume
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- Issue
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- ISSN
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- Open access status
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- Month of publication
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- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first paper to address the problem of predicting which players in a game that will become paying players, given a freemium product. It presents large-scale analysis of behavioural data with industry (Wooga Ltd.). It received the Best Paper Award at AAAI Artificial Intelligence in Interactive Digital Entertainment conference, one of two leading conferences on AI and games. The paper is a follow-up from the earliest papers on churn prediction in games and formed the basis for at least five other papers on prediction tasks in games. It has become a standard reference on behavior prediction in games.
- Author contribution statement
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- Non-English
- No
- English abstract
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