Using the Explicit User Profile to Predict User Engagement in Active Video Watching

Piotrkowicz, A orcid.org/0000-0002-7723-699X, Dimitrova, V orcid.org/0000-0002-7001-0891, Mitrovic, A et al. (1 more author) (2018) Using the Explicit User Profile to Predict User Engagement in Active Video Watching. In: Proceedings of the 26th Conference on User Modelling, Adaptation and Personalization. UMAP2018, 08-11 Jul 2018, Nanyang Technological University, Singapore. Association for Computing Machinery , pp. 365-366. ISBN 978-1-4503-5589-6

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

(c) 2018 Copyright held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
Keywords: video engagement; user engagement; explicit user profile
Dates:
  • Accepted: 12 April 2018
  • Published: 8 July 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
257831
Depositing User: Symplectic Publications
Date Deposited: 27 Jun 2018 10:50
Last Modified: 10 Jul 2018 14:39
Status: Published
Publisher: Association for Computing Machinery
Identification Number: 10.1145/3209219.3209262
Open Archives Initiative ID (OAI ID):

Export

Statistics


CORE (COnnecting REpositories)