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2017 | OriginalPaper | Chapter

3. Architecture of Data-Driven Personalized QoE Management

Authors : Ying Wang, Wen’an Zhou, Ping Zhang

Published in: QoE Management in Wireless Networks

Publisher: Springer International Publishing

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Abstract

In this chapter, we propose a systematic architecture on data-driven personalized QoE management. A framework of the QoE management architecture is firstly introduced, which consists of two modules namely (1) training module and (2) control module. We also depict two models for the prediction of user preference, including Bayesian Graphic Model and Context Aware Matrix Factorization Model. A preliminary use case is deployed to demonstrate and evaluate the proposed architecture. Simulation results illustrate the superior performance of proposed architecture compared with traditional water-filling method.

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previous chapter Background and Literature Survey
next chapter QoE-Oriented Resource Allocation in Wireless Networks
Literature
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2.
D. Zhengyu, S. Jitao, and Changsheng X. “Personalized video recommendation based on cross-platform user modeling”. In Proc. of IEEE International Conference on Multimedia and Expo (ICME), America, July. 2013.
3.
S. Kisoon, M. Aekyung, and C. Yongil. “A case study of context-aware personalized services on IMPACT platform: Adsonmap services”. In Proc. of IEEE International Conference on Advanced Communication Technology (ICACT), Ireland, Feb. 2009.
4.
Z. Hua. “Construction of a Personalized Service Oriented Learning Resource Management System Framework”. In Proc. of IEEE International Workshop on Knowledge Discovery and Data Mining (WKDD), Saudi Arabia, Jan. 2008.
5.
Y. Wang, P. Li, J. Lei, Z. Su, N. Cheng, X. Shen, and P. Zhang. “A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks”. In IEEE Wireless Communications. IEEE.
6.
7.
Y. Wang, P. Li, H. Tao, R. Meng, and J. Liu. “Bayesian graphic model based user preference prediction for future personalized service provisioning”. In 2015 IEEE/CIC International Conference on Communications in China (ICCC), pages 1–6. IEEE, 2015.
8.
J. Liu, Y. Wang, and H. Tao. “An improved matrix factorization model under multidimensional context situation”. In 2015 IEEE/CIC International Conference on Communications in China (ICCC), pages 1–6. IEEE, 2015.
Metadata
Title
Architecture of Data-Driven Personalized QoE Management
Authors
Ying Wang
Wen’an Zhou
Ping Zhang
Copyright Year
2017
Book
QoE Management in Wireless Networks

Print ISBN: 978-3-319-42452-1

Electronic ISBN: 978-3-319-42454-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-42454-5_3