Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference

Pedro Casas-Hernandez (Vortragende:r), Sarah Wassermann, Nikolas Wehner, Michael Seufert, Tobias Hossfeld

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

Originalsprache	Englisch
Titel	2022 IEEE International Symposium on Measurements & Networking (M&N)
Seiten	1-6
Seitenumfang	6
DOIs	https://doi.org/10.1109/MN55117.2022.9887781
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	IEEE International Symposium on Measurements & Networking (M&N 2020) - Dauer: 18 Juli 2022 → 20 Juli 2022

Konferenz	IEEE International Symposium on Measurements & Networking (M&N 2020)
Zeitraum	18/07/22 → 20/07/22

Research Field

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title = "Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference",

author = "Pedro Casas-Hernandez and Sarah Wassermann and Nikolas Wehner and Michael Seufert and Tobias Hossfeld",

year = "2022",

doi = "10.1109/MN55117.2022.9887781",

language = "English",

isbn = "978-1-6654-8362-9",

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booktitle = "2022 IEEE International Symposium on Measurements & Networking (M&N)",

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TY - GEN

T1 - Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference

AU - Wassermann, Sarah

AU - Wehner, Nikolas

AU - Seufert, Michael

AU - Hossfeld, Tobias

A2 - Casas-Hernandez, Pedro

PY - 2022

Y1 - 2022

U2 - 10.1109/MN55117.2022.9887781

DO - 10.1109/MN55117.2022.9887781

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-6654-8362-9

SP - 1

EP - 6

BT - 2022 IEEE International Symposium on Measurements & Networking (M&N)

T2 - IEEE International Symposium on Measurements & Networking (M&N 2020)

Y2 - 18 July 2022 through 20 July 2022

ER -