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 Na; Lee, Won Hyung; Park, 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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