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When deep learning meets web QoE
| Content Provider | Scilit |
|---|---|
| Author | Abdelwahed, Nawres Letaifa, Asma Ben Asmi, Sadok El |
| Copyright Year | 2021 |
| Description | In this contribution, we selected three parameters of web QoE (TTC, h_score and vote) from a large-scale dataset. These parameters are selected since they are the most related to user engagement. The combination of the three web metrics gives as the Mean Opinion Score (MOS) which illustrates the user experience. Then we visualized the selected parameters as well as the MOS. At first, we manually fixed the parameters weights (α, β and γ). Then, we tried to predict them using Artificial Neural Network (ANN) training algorithm but we had a low accuracy. Book Name: Innovative and Intelligent Technology-Based Services for Smart Environments – Smart Sensing and Artificial Intelligence |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003181545-4&type=chapterpdf |
| Ending Page | 29 |
| Page Count | 7 |
| Starting Page | 23 |
| DOI | 10.1201/9781003181545-4 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-06-18 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Innovative and Intelligent Technology-based Services for Smart Environments – Smart Sensing and Artificial Intelligence Hardware and Architecturee Artificial Neural Network Web Qoe Mos Score Illustrates Engagement Opinion |
| Content Type | Text |
| Resource Type | Chapter |
