Inclusion of User Behavior and Social Context Information in ML-based QoE Prediction

Fatima Laiche, Asma Ben Letaifa, Taoufik Aguili

2021

Abstract

The widespread use of online video content in every area of the connected world increases the interest in Quality of Experience (QoE). QoE plays a crucial role in the success of video streaming services. However, QoE prediction is challenging as many compelling factors (i.e., human and context factors) impact the QoE and QoE management solution often neglect the impact of social context and user behavior factors on the end-user’s QoE. To address these challenges, we have developed a web application to conduct subjective study and collect data from application-layer, user-level, and service-level. The collected data is then used as training set for machine learning models including decision tree, K-nearest neighbor, and support vector machine for the purpose of QoE prediction.

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Paper Citation


in Harvard Style

Laiche F., Ben Letaifa A. and Aguili T. (2021). Inclusion of User Behavior and Social Context Information in ML-based QoE Prediction. In Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-523-4, pages 597-604. DOI: 10.5220/0010606405970604


in Bibtex Style

@conference{icsoft21,
author={Fatima Laiche and Asma Ben Letaifa and Taoufik Aguili},
title={Inclusion of User Behavior and Social Context Information in ML-based QoE Prediction},
booktitle={Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2021},
pages={597-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010606405970604},
isbn={978-989-758-523-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Inclusion of User Behavior and Social Context Information in ML-based QoE Prediction
SN - 978-989-758-523-4
AU - Laiche F.
AU - Ben Letaifa A.
AU - Aguili T.
PY - 2021
SP - 597
EP - 604
DO - 10.5220/0010606405970604