標題: Customer Churn Prediction in Virtual Worlds
作者: Liao, Hsiu-Yu
Chen, Luan-Yu
Liu, Duen-Ren
Chiu, Yi-Ling
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: churn prediction;virtual world;RFM model;social influence
公開日期: 2015
摘要: With the emerging of social network websites, more and more social network online games are booming. Players have more alternatives of VWs games, while platform providers suffer from the problems of high customer turnover rate and low-customer-loyalty. Therefore, building a churn prediction model to facilitate subsequent churn management and customer retention is the best core marketing strategy. In this paper, we put emphasis on modeling a hybrid classification, which takes monetary cost, user behavior and social neighbor features into consideration. The experimental results show that the proposed hybrid model is well-suited for this problem in virtual worlds comparing to the existing churn prediction methods applied in the traditional retail, and financial industry.
URI: http://dx.doi.org/10.1109/IIAI-AAI.2015.265
http://hdl.handle.net/11536/135970
ISBN: 978-1-4799-9958-3
DOI: 10.1109/IIAI-AAI.2015.265
期刊: 2015 IIAI 4TH INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI)
起始頁: 115
結束頁: 120
Appears in Collections:Conferences Paper