An Intelligent Interactive Information Discovery Model for Churn Management in Telecommunications Industry
محل انتشار: دومین کنفرانس ملی بازیابی تعاملی اطلاعات
سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 706
فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
IIIRC02_002
تاریخ نمایه سازی: 7 آبان 1398
چکیده مقاله:
Customer churn is when a customer stops using products or services from a company. In order to maximize the revenue and profit, the companies harness a wide range of strategies to reduce customer churn rate. This study develops an artificial intelligence-powered interactive information discovery model that predicts a customer’s decision to churn through analyzing their behavioral data. This model uses artificial neural networks to predict churn probability for every customer based on their personal behavioral data, which includes features like gender, contract type, and service charges. The model is applied to a real -world customer churn problem from the telecommunications industry. The results indicate that contract type, service charges, and tenure are primary single feature drivers behind customer churn in this sector. They further illustrate the ability of the model in discovering and retrieving customers with a high churn probability and forming the foundation of an interactive information retrieval system for simulating the customer response to a set of alternative decision scenarios.
کلیدواژه ها:
نویسندگان
Mohammad Rasekh
Research Assistant, Birjand University of Technology, Industry Blvd, Birjand, Iran.
Esmaeil Atashpaz-Gargari
Assistant Professor, Department of Engineering and Computing, National University, San Diego, CA, US.