Not all web pages are born the same content tailored learning for web QoE inference

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Metadaten
Author:Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael SeufertORCiDGND, Tobias Hoßfeld
URN:urn:nbn:de:bvb:384-opus4-1072500
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/107250
ISBN:978-1-6654-8363-6OPAC
Parent Title (English):IEEE International Symposium on Measurements & Networking (M&N), 18-20 July 2022, Padua, Italy
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Marco Carratu'
Type:Conference Proceeding
Language:English
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2023/10/11
First Page:1
Last Page:6
DOI:https://doi.org/10.1109/mn55117.2022.9887781
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für vernetzte eingebettete Systeme und Kommunikationssysteme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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