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Eliciting User Preferences for Personalized Explanations for Video Summaries

descriptionPublicationkeyboard_double_arrow_right Article , Presentation , Other literature type , Preprint , Conference object 07 Jul 2020Embargo end date: 18 Jul 2020Publisher:ACMJournal:Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Authors: Inel, Oana; Tintarev, Nava; Aroyo, Lora;

doi: 10.1145/3340631.3394862 , 10.5281/zenodo.4058033 , 10.5167/uzh-264737 , 10.48550/arxiv.2005.00465 , 10.5281/zenodo.4058032

arXiv: http://arxiv.org/abs/2005.00465

Eliciting User Preferences for Personalized Explanations for Video Summaries

Abstract

This presentation was featured in the Lightning talks sessions for the DataTV 2020 Webinar on September 14, 2020.

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Keywords

1712 Software, FOS: Computer and information sciences, video summarization, 10009 Department of Informatics, Digital video, Computer Science - Human-Computer Interaction, 000 Computer science, knowledge & systems, Human-Computer Interaction (cs.HC)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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8
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117
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