[Oral Presentation]Multi-Criteria Decision Analysis for Optimal Internet Service Provider Selection using Calibrated Random Forest

Multi-Criteria Decision Analysis for Optimal Internet Service Provider Selection using Calibrated Random Forest
ID:99 Submission ID:268 View Protection:ATTENDEE Updated Time:2024-10-24 13:07:39 Hits:258 Oral Presentation

Start Time:2024-10-26 09:00 (Asia/Bangkok)

Duration:15min

Session:[RS2] Regular Session 2 » [RS2-3] AI and Data Analytics

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Abstract
The Internet is integral to modern life, with ISPs offering appealing deals to meet the demand for unlimited data. However, reality often falls short of expectations. While recommendation systems exist, user-centric options are rare. This paper proposes a novel ISP selection methodology using user experience data and a Calibrated Random Forest (CRF) model. Unlike traditional methods that focus on advertised features, this approach emphasizes user-defined criteria such as cost, device connectivity, and technical support experience. By analyzing survey data, the model highlights the critical link between user needs and support quality, enabling users to choose ISPs that prioritize customer service. The model demonstrates promising results with a strong R-squared value and low Mean Squared Error (MSE). This user-centric approach fosters informed decision-making, potentially driving competition and encouraging ISPs to improve service standards, laying a foundation for future developments in ISP selection.
Keywords
Multi-criteria Decision Analysis,,Calibrated Random Forest,User Experience,consumer-centric ISP selection,data-driven \&; personalized ISP recommendations
Speaker
Abhijit Bhowmik
Associate professor American International University Bangladesh

Submission Author
Md. Mazid-Ul-Haque American International University Bangladesh
Shakil Ahmed Aarhus University
Rakin Sad Aftab American International University Bangladesh
Md Saef Ullah Miah American International University-Bangladesh
Wahiduzzaman Akanda Department of Computer & Information Sciences, University of Delaware, Newark, USA
Abhijit Bhowmik American International University Bangladesh
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