A game theory-assisted machine learning methodology for subscriber churn behaviors detection
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 ma...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-06-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020164/ |
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| author | Ye OUYANG Aidong YANG Fanyu MENG |
| author_facet | Ye OUYANG Aidong YANG Fanyu MENG |
| author_sort | Ye OUYANG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-df18795b970d412d8ea7c4f588ed1e02 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-06-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-df18795b970d412d8ea7c4f588ed1e022025-01-15T03:00:34ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-06-0136798959582669A game theory-assisted machine learning methodology for subscriber churn behaviors detectionYe OUYANGAidong YANGFanyu MENGAt 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020164/subscriber churnmobile number portabilitygame theorymachine learning |
| spellingShingle | Ye OUYANG Aidong YANG Fanyu MENG A game theory-assisted machine learning methodology for subscriber churn behaviors detection Dianxin kexue subscriber churn mobile number portability game theory machine learning |
| title | A game theory-assisted machine learning methodology for subscriber churn behaviors detection |
| title_full | A game theory-assisted machine learning methodology for subscriber churn behaviors detection |
| title_fullStr | A game theory-assisted machine learning methodology for subscriber churn behaviors detection |
| title_full_unstemmed | A game theory-assisted machine learning methodology for subscriber churn behaviors detection |
| title_short | A game theory-assisted machine learning methodology for subscriber churn behaviors detection |
| title_sort | game theory assisted machine learning methodology for subscriber churn behaviors detection |
| topic | subscriber churn mobile number portability game theory machine learning |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020164/ |
| work_keys_str_mv | AT yeouyang agametheoryassistedmachinelearningmethodologyforsubscriberchurnbehaviorsdetection AT aidongyang agametheoryassistedmachinelearningmethodologyforsubscriberchurnbehaviorsdetection AT fanyumeng agametheoryassistedmachinelearningmethodologyforsubscriberchurnbehaviorsdetection AT yeouyang gametheoryassistedmachinelearningmethodologyforsubscriberchurnbehaviorsdetection AT aidongyang gametheoryassistedmachinelearningmethodologyforsubscriberchurnbehaviorsdetection AT fanyumeng gametheoryassistedmachinelearningmethodologyforsubscriberchurnbehaviorsdetection |