Paper Info
Title
Dynamic bayesian networks for sequential quality of experience modelling and measurement
Abstract
This paper presents a novel context-aware methodology for modelling and measuring user-perceived quality of experience (QoE) over time. In particular, we create a context-aware model for QoE modelling and measurement using dynamic Bayesian networks (DBN) and a context-aware state-space approach. The proposed model is then used to infer and determine users' QoE in a sequential manner. We performed experimentation to validate the proposed model. The results prove that it can efficiently model, reason and measure QoE of the users'.
Year
DOI
Venue
2011
10.1007/978-3-642-22875-9_12
NEW2AN
Keywords
Field
DocType
qoe modelling,experience modelling,dynamic bayesian network,context-aware state-space approach,measure qoe,novel context-aware methodology,context-aware model,sequential manner,sequential quality,user-perceived quality,bayesian network,quality of service,algorithm
Data mining,Computer science,Quality of service,Context awareness,Bayesian network,Quality of experience,Dynamic Bayesian network
Conference
Volume
ISSN
Citations 
6869
0302-9743
6
PageRank 
References 
Authors
0.41
11
3
Name
Order
Citations
PageRank
Karan Mitra116917.84
Arkady Zaslavsky2113381.03
Christer Åhlund321527.85