Grey-Markov model of user demands prediction based on online reviews

N Zhang, L Qin, P Yu, W Gao, Y Li - Journal of Engineering Design, 2023 - Taylor & Francis
Users have higher demands on product with the developing e-commerce and the increasing
online shopping. Enterprises must design products that meet user demands accurately and …

Crowdsourcing or network KPIs? A twofold perspective for QoE prediction in cellular networks

A Pimpinella, A Marabita… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Monitoring the Quality of Experience (QoE) of the customer base is a key task for Mobile
Network Operators (MNOs), and it is generally performed by collecting users feedbacks …

Unsatisfied today, satisfied tomorrow: A simulation framework for performance evaluation of crowdsourcing-based network monitoring

A Pimpinella, M Repossi, AEC Redondi - Computer Communications, 2022 - Elsevier
Network operators need to continuously upgrade their infrastructures in order to keep their
customer satisfaction levels high. Crowdsourcing-based approaches are generally adopted …

Prediction of cellular customers satisfaction with network measurements at 4G radio access

A MARABITA - 2019 - politesi.polimi.it
The expected characteristics that the mobile network connectivity market will assume with
the well-established adoption of 4G technology and the imminent deployment of 5G …

Machine learning based QoE prediction in mobile cellular networks

JRAM KOLLIPARA - 2018 - politesi.polimi.it
Network operators are interested in continuously monitoring the satisfaction of their
customers to minimise the churn rate: however, collecting user feed backs through surveys …

To predict or not to predict? A simulation framework for assessing the impact of QoE prediction errors on the detection of under-performing cells in mobile networks

M REPOSSI - 2018 - politesi.polimi.it
With the exponential growth of the number of cellular connections and considering the
upcoming 5G technology, network operators have to invest in all the network domains such …