Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study

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 a...

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Bibliographic Details
Main Authors: Alejandro Baldominos Gómez, Esperanza Albacete, Ignacio Merrero, Yago Saez
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2016-03-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Online Access:http://www.ijimai.org/journal/node/937