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Clustering of Online Game Users Based on Their Trails Using Self-organizing Map

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Entertainment Computing - ICEC 2006 (ICEC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4161))

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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.

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Author information

Authors and Affiliations

  1. Intelligent Computer Entertainment Laboratory, Department of Human and Computer Intelligence, Ritsumeikan University, Kusatsu, Shiga, 525-8577, Japan

    Ruck Thawonmas, Masayoshi Kurashige & Keita Iizuka

  2. Data Mining Lab, Computer Engineering and Computer Science Department, University of Louisville, Louisville, KY, 40292, USA

    Mehmed Kantardzic

Authors
  1. Ruck Thawonmas
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  2. Masayoshi Kurashige
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  3. Keita Iizuka
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  4. Mehmed Kantardzic
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Editor information

Editors and Affiliations

  1. Microsoft Research Cambridge, Socio-Digital Systems, 7 J.J: Thomson Ave, CB3 OFB, Cambridge, UK

    Richard Harper

  2. Technische Universiteit Eindhoven, Den Dolech 2, 5600MB, Eindhoven, The Netherlands

    Matthias Rauterberg

  3. Microsoft Research Cambridge UK, Roger Needham Building , 7 J J Thomson Ave, CB3 0FB, Cambridge, UK

    Marco Combetto

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© 2006 IFIP International Federation for Information Processing

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Thawonmas, R., Kurashige, M., Iizuka, K., Kantardzic, M. (2006). Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. In: Harper, R., Rauterberg, M., Combetto, M. (eds) Entertainment Computing - ICEC 2006. ICEC 2006. Lecture Notes in Computer Science, vol 4161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872320_51

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  • DOI: https://doi.org/10.1007/11872320_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45259-1

  • Online ISBN: 978-3-540-45261-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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