@inproceedings{a39f2306cb9744b8a7815a7df8b3b4b5,
title = "Customer Churn Prediction in Virtual Worlds",
abstract = "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.",
keywords = "RFM model, churn prediction, social influence, virtual world",
author = "Liao, {Hsiu Yu} and Chen, {Kuan Yu} and Duen-Ren Liu and Chiu, {Yi Ling}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 ; Conference date: 12-07-2015 Through 16-07-2015",
year = "2015",
month = jul,
day = "12",
doi = "10.1109/IIAI-AAI.2015.265",
language = "English",
series = "Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "115--120",
editor = "Sachio Hirokawa and Kiyota Hashimoto and Tokuro Matsuo and Tsunenori Mine",
booktitle = "Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015",
address = "美國",
}