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The Generation of Cluster Labels Based on Cluster Analysis for MMORPG GameThe Generation of Cluster Labels Based on Cluster Analysis for MMORPG Game

Authors
Cha, You NaLee, Won HyungPark, Sang Yong
Issue Date
2022
Publisher
(사)한국컴퓨터게임학회
Keywords
user group; user behavior; clustering algorithm; matrix decomposition; latent factor model
Citation
한국컴퓨터게임학회논문지, v.35, no.2, pp 67 - 77
Pages
11
Journal Title
한국컴퓨터게임학회논문지
Volume
35
Number
2
Start Page
67
End Page
77
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60746
DOI
10.22819/kscg.2022.35.2.008
ISSN
1976-6513
2288-5528
Abstract
characteristics at MMORPG Game, how to provide these users with efficient, safe, and personalized network services is a problem that needs to be solved urgently. The clustering algorithm needs to pre-determine the scale of user behavior data when analyzing network user behavior, and the generated clusters also lack semantic features. Therefore, this paper conducts cluster analysis on the characteristics of network user behavior data, and applies LFM, matrix decomposition and other methods to propose an automatic cluster label generation method for network user behavior clustering. The experimental results show that the proposed method does not need to determine the scale of user behavior data in advance, and cluster labels can be generated at the same time in the clustering process, and the generated cluster labels conform to the actual semantics of user behavior.
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