Open Access
MMOG Player Identification: A Step toward CRM of MMOGs
TLDR
An effective approach for player identification is discussed, the results of which can be exploited for CRM of MMOGs, and a feature extraction method is proposed that is based on the frequency of each type of game items acquired by each player.Abstract:
The market of massively multiplayer online games (MMOGs) is expanding rapidly. MMOG business can be considered as eBusiness where CRM (Customer Relationship Management) is a key factor of success. This paper discusses an effective approach for player identification, the results of which can be exploited for CRM of MMOGs. A feature extraction method is proposed that is based on the frequency of each type of game items acquired by each player. To validate the proposed feature extraction method, experiments are conducted using game log data obtained from an MMOG simulator. The experimental results show that the proposed feature extraction method outperforms a method, previously proposed by the same authors, that is based on the frequency of each type of actions performed by each player.read more
Citations
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Proceedings ArticleDOI
User identification based on game-play activity patterns
Kuan-Ta Chen,Li-Wen Hong +1 more
TL;DR: This paper proposes a new biometric for human identification based on users' game-play activities, and proposes the RET scheme, which is based on the KullbackLeibler divergence between idle time distributions, for user identification.
Book ChapterDOI
MMOG Player Classification Using Hidden Markov Models
TL;DR: The experimental results given in this paper show that Hidden Markov Models have higher recognition performance than the previous approach, especially for classification of players of different types but having similar action frequencies.
Dissertation
Customizing Cyberspace : Methods for User Representation and Prediction
TL;DR: Cyberspace plays an increasingly important role in people’s life due to its plentiful offering of services and information, e.g. the Word Wide Web, the Mobile Web and Online Games.
Episode Detection with Vector Space Model in Agent Behavior Sequences of MMOGs
Ji-Young Ho,Ruck Thawonmas +1 more
TL;DR: It is shown that episode sequences are more informative and improve the classiflcation ability over both action sequences and item sequences.
Application of the Artificial Society Approach to Multiplayer Online Games: A Case Study on Effects of a Robot Rental Mechanism.
Ruck Thawonmas,Takeshi Yagome +1 more
TL;DR: Simulation results show the effectiveness of the proposed rental mechanism, namely, better game balance and inflation control, and indicate that the artificial society approach has high potential for use in multiplayer online game applications in order to systematically predict effects of each service or component.
References
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Book
Data Mining Techniques: For Marketing, Sales, and Customer Support
TL;DR: One of the first practical guides to mining business data, Data Mining Techniques describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies.
Identification of Player Types in Massively Multiplayer Online Games
TL;DR: This paper addresses the challenge of identification of player types in massively multiplayer online games (MMOGs) and demonstrates the approach using a PC.