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Found 3 papers, 1 papers with code
From QoS Distributions to QoE Distributions: a System's Perspective
On the other hand, drawing from the results of subjective user studies, we know that user diversity leads to distributions of user scores for any given test conditions (in this case referring to the QoS parameters of interest).
Multimedia Networking and Internet Architecture
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning
The development of QoE models by means of Machine Learning (ML) is challenging, amongst others due to small-size datasets, lack of diversity in user profiles in the source domain, and too much diversity in the target domains of QoE models.
Privacy Preserving QoE Modeling using Collaborative Learning
One reason for the limited datasets, which we refer in this paper as small QoE data lakes, is due to the fact that often these datasets potentially contain user sensitive information and are only collected throughout expensive user studies with special user consent.
