Large-scale Ensemble Model for Customer Churn Prediction in Search Ads

@article{Wang2018LargescaleEM,
  title={Large-scale Ensemble Model for Customer Churn Prediction in Search Ads},
  author={Qiu-Feng Wang and Mirror Xu and Amir Hussain},
  journal={Cognitive Computation},
  year={2018},
  volume={11},
  pages={262-270}
}
Customer churn prediction is one of the most important issues in search ads business management, which is a multi-billion market. The aim of churn prediction is to detect customers with a high propensity to leave the ads platform, then to do analysis and increase efforts for retaining them ahead of time. Ensemble model combines multiple weak models to obtain better predictive performance, which is inspired by human cognitive system and is widely used in various applications of machine learning… CONTINUE READING

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