Predicting Players Behavior in Games with Microtransactions

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Predicting Players Behavior in Games with Microtransactions

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Predicting Players Behavior in Games with Microtransactions

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Frontiers in Artificial Intelligence and Applications

ISBN

978-1-61499-420-6

ISSN

0922-6389

e-ISSN

—

Počet stran výsledku

10

Strana od-do

230-239

Název nakladatele

IOS Press

Místo vydání

Amsterdam

Místo konání akce

Praha

Datum konání akce

18. 8. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000350218400024