Abstract
To keep an online game interesting to its users, it is important to know them. In this paper, in order to characterize user characteristics, we discuss clustering of online-game users based on their trails using Self Organization Map (SOM). As inputs to SOM, we introduce transition probabilities between landmarks in the targeted game map. An experiment is conducted confirming the effectiveness of the presented technique. © IFIP International Federation for Information Processing 2006.
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CITATION STYLE
Thawonmas, R., Kurashige, M., Iizuka, K., & Kantardzic, M. (2006). Clustering of online game users based on their trails using self-organizing map. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4161 LNCS, pp. 366–369). Springer Verlag. https://doi.org/10.1007/11872320_51
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