%A Ye OUYANG,Aidong YANG,Fanyu MENG %T A game theory-assisted machine learning methodology for subscriber churn behaviors detection %0 Journal Article %D 2020 %J Telecommunications Science %R 10.11959/j.issn.1000-0801.2020164 %P 79-89 %V 36 %N 6 %U {https://www.infocomm-journal.com/dxkx/CN/abstract/article_170307.shtml} %8 2020-06-20 %X

At the end of November 2019,China officially implemented the number portability policy (MNP) that has been in trial for 9 years.The policy will strengthen the liquidity and competitiveness of the telecommunication market,making the problem of subscriber churn more prominent.A game theory-assisted machine learning methodology was proposed,verified and commercialized timely,which could help mobile network operator (MNO) actively respond to competition in the MNP market.The proposed methodology provides MNO with a machine learning model to detect subscriber portability and give differentiated treatment.Experimental results show that the proposed methodology can guide MNOs to make a targeted MNP strategy,and precisely identify “abnormal” subscribers who tend to churn-out and potential new subscribers who may churn-in.In addition,the proposed methodology has been successfully commercialized,greatly improving the marketing efficiency of operators,increasing user satisfaction,and reducing the loss of users by about 50% for a tier-1 MNO in China.