Predicting Players Behavior in Games with Microtransactions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218995" target="_blank" >RIV/68407700:21230/14:00218995 - isvavai.cz</a>
Result on the web
<a href="http://ebooks.iospress.nl/volumearticle/37212" target="_blank" >http://ebooks.iospress.nl/volumearticle/37212</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-421-3-230" target="_blank" >10.3233/978-1-61499-421-3-230</a>

Result language
angličtina
Original language name
Predicting Players Behavior in Games with Microtransactions
Original language description
This paper focuses on predicting player behaviour in two-player games with microtransactions. Typically the games are for free and companies generate their revenue by selling in-game goods. We show creation of a users behaviour model, which are then usedin a recommendation system increasing in-game goods purchases. We focus on learning techniques in a novel way, predicting the time of purchases rather than the most likely product to be purchased. The player model is based on in-game signals, such as players success, curiosity, social interactions etc. We had access to a Pool Live Tour game dataset made by Geewa. We report promising results in predicting the purchase events.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Frontiers in Artificial Intelligence and Applications
ISBN
978-1-61499-420-6
ISSN
0922-6389
e-ISSN
—
Number of pages
10
Pages from-to
230-239
Publisher name
IOS Press
Place of publication
Amsterdam
Event location
Praha
Event date
Aug 18, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000350218400024

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