Call Center Call Prediction in Internet Service Provider

Call Center Call Prediction in Internet Service Provider

We propose to develop a machine learning system which can predict which home users of an Internet Service Provider will call to within one week. Training data for the system will be provided via per-minute data gathered from modems by the Lifemote, labeled both manually and by the ISP call center via the Lifemote user interface. Roughly 3 percent of users call their ISP to complain each month. The goal of the project is identify the 10 percent of the population most likely to call with a false negative rate of less than 20 percent.

Project Poster: 

Project Members: 

Murat Buldu

Project Advisor: 

Eren Soyak

Project Status: 

Project Year: 

  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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