2016
DOI: 10.9781/ijimai.2016.367
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Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study

Abstract: -This paper presents the results and conclusions found when predicting the behavior of gamers in commercial videogames datasets. In particular, it uses Variable-Order Markov (VOM) to build a probabilistic model that is able to use the historic behavior of gamers and to infer what will be their next actions. Being able to predict with accuracy the next user's actions can be of special interest to learn from the behavior of gamers, to make them more engaged and to reduce churn rate. In order to support a big vol… Show more

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Cited by 7 publications
(3 citation statements)
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References 26 publications
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“…Extraction of game dynamics will be based on pattern recognition, utilizing Markov Model-like pattern matching applied to Machine Learning [15], and used for video games design [17,43]. Thus, we will be able to spot game dynamics inside the complete database of the synthetic player's actions, classified through time.…”
Section: Game Experience Evaluation Pipelinementioning
confidence: 99%
“…Extraction of game dynamics will be based on pattern recognition, utilizing Markov Model-like pattern matching applied to Machine Learning [15], and used for video games design [17,43]. Thus, we will be able to spot game dynamics inside the complete database of the synthetic player's actions, classified through time.…”
Section: Game Experience Evaluation Pipelinementioning
confidence: 99%
“…In many cases, these techniques allow us to analyse the users' behaviour with the objective of predicting their future behaviour or discovering their tastes. For example, Baldominos et al [4] try to predict gamers' behaviour in commercial video games using the Variable-Order Markov Model (VOM) and Big Data.…”
Section: Introductionmentioning
confidence: 99%
“…Αυτά αποτελούν πολύτιμο υλικό για την εξόρυξη γνώσης η οποία μπορεί να συνεισφέρει στην επίλυση προβλημάτων στον επιχειρηματικό κόσμο (Εικόνα 11). (Baldominos, Albacete, Merrero, & Saez, 2016). (Loh, Sheng, & Ifenthaler, 2015).…”
Section: βέβαια αρκετές από αυτές τις πρακτικές αν και υπάρχουν στα περισσότερα Videounclassified