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Understanding the impact of video quality on user engagement

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Hui ZhangAuthors Info & Claims

Communications of the ACM, Volume 56, Issue 3

Pages 91 - 99

https://doi.org/10.1145/2428556.2428577

Published: 01 March 2013 Publication History

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Index Terms

Understanding the impact of video quality on user engagement
1. General and reference
  1. Cross-computing tools and techniques

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Published In

Communications of the ACM Volume 56, Issue 3

March 2013

93 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2428556

Issue’s Table of Contents

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 March 2013

Published in CACM Volume 56, Issue 3

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Wu HWu DGong P(2025)SR-ABR: Super Resolution Integrated ABR Algorithm for Cloud-Based Video StreamingIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2024.34464499:1(87-98)Online publication date: Feb-2025
https://doi.org/10.1109/TETCI.2024.3446449
MOLU BMOLU G(2025)An evaluation of YouTube videos on glucose sensor devices and type 1 diabetes mellitus: User perceptions, device features, and content reliabilityDiabetes Research and Clinical Practice10.1016/j.diabres.2025.112069222(112069)Online publication date: Apr-2025
https://doi.org/10.1016/j.diabres.2025.112069
Ajeyprasaath KVetrivelan P(2024)A Hybrid Machine Learning Approach for Improvised QoE in Video Services over 5G Wireless NetworksComputers, Materials & Continua10.32604/cmc.2023.04691178:3(3195-3213)Online publication date: 2024
https://doi.org/10.32604/cmc.2023.046911
Peñaherrera-Pulla OBaena CFortes SBarco R(2024)ML-Powered KQI Estimation for XR Services: A Case Study on 360-VideoIEEE Open Journal of the Communications Society10.1109/OJCOMS.2024.34228725(4075-4097)Online publication date: 2024
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Choon KLim T(2024)A Critical Review on Quality of Experience for Videos and User Engagement on Social Media Platforms2024 3rd International Conference on Digital Transformation and Applications (ICDXA)10.1109/ICDXA61007.2024.10470509(80-85)Online publication date: 29-Jan-2024
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Farrag OLandolsi THassan MIsmail M(2024)Mitigating Buffer Starvation: Addressing Head-of-Line Blocking in Video Streaming for Enhanced Quality of Experience2024 6th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)10.1109/ICCSPA61559.2024.10794402(1-7)Online publication date: 8-Jul-2024
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Ishibashi KUchida T(2024)Estimating Latent Traffic Demand From QoS Degradation Using a Time Series Causal Inference ApproachIEEE Access10.1109/ACCESS.2024.346697612(139346-139357)Online publication date: 2024
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Huu TVan Pham SHuong TLe H(2024)QoE Aware Video Streaming Scheme Utilizing GRU-Based Bandwidth Prediction and Adaptive Bitrate Selection for Heterogeneous Mobile NetworksIEEE Access10.1109/ACCESS.2024.338215512(45785-45795)Online publication date: 2024
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Qi YHan JLu XWang ZRen HZhang X(2024)A study on satisfaction evaluation of Chinese mainstream short video platforms based on grounded theory and CRITIC-VIKORHeliyon10.1016/j.heliyon.2024.e3005010:9(e30050)Online publication date: May-2024
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Nugraha F(2023)Exploring the Influence of YouTube Videos on Purchase Intentions among Millennial Consumers in Tasikmalaya CityInternational Journal of Multidisciplinary Approach Research and Science10.59653/ijmars.v1i02.681:02(147-168)Online publication date: 31-May-2023
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