TY - JOUR
KW - Behaviour Control and Monitoring
KW - User Experience
KW - Big Data
KW - Hidden Markov Models
KW - Real-Time Prediction
AU - Yago Saez
AU - Alejandro Baldominos Gómez
AU - Esperanza Albacete
AU - Ignacio Marrero
AB - 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 volume and velocity of data, the system is built on top of the Hadoop ecosystem, using HBase for real-time processing; and the prediction tool is provided as a service (SaaS) and accessible through a RESTful API. The prediction system is evaluated using a case of study with two commercial videogames, attaining promising results with high prediction accuracies.
IS - Special Issue on Big Data and AI
M1 - 6
N2 - 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 volume and velocity of data, the system is built on top of the Hadoop ecosystem, using HBase for real-time processing; and the prediction tool is provided as a service (SaaS) and accessible through a RESTful API. The prediction system is evaluated using a case of study with two commercial videogames, attaining promising results with high prediction accuracies.
PY - 2016
SP - 44
EP - 51
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study
UR - http://www.ijimai.org/journal/sites/default/files/files/2016/02/ijimai20163_6_7_pdf_23096.pdf
VL - 3
SN - 1989-1660
ER -