research-article

User Behavior Characterization of a Large-scale Mobile Live Streaming System

Authors:

Mohamed Ali Kaafar,

Kave SalamatianAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 307 - 313

https://doi.org/10.1145/2740908.2743054

Published: 18 May 2015 Publication History

Abstract

Streaming live content to mobile terminals has become prevalent. While there are extensive measurement studies of non-mobile live streaming (and in particular P2P live streaming) and video-on-demand (both mobile and non-mobile), user behavior in mobile live streaming systems is yet to be explored. This paper relies on over 4 million access logs collected from the PPTV live streaming system to study the viewing behavior and user activity pattern, with emphasis on the discrepancies that might exist when users access the live streaming system catalog from mobile and non-mobile terminals. We observe high rates of abandoned viewing sessions for mobile users and identify different reasons of that behavior for 3G- and WiFi-based views. We further examine the structure of abandoned sessions due to connection performance issues from the perspectives of time of day and mobile device types. To understand the user pattern, we analyze user activity distribution, user geographical distribution as well as user arrival/departure rates.

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Cited By

Zhong RHan SWang Z(2023)Developing personas for live streaming commerce platforms with user survey dataUniversal Access in the Information Society10.1007/s10209-023-00996-x23:4(1705-1721)Online publication date: 27-Apr-2023
https://doi.org/10.1007/s10209-023-00996-x
Yu HHarper SVigo MBellogin ABoratto LSantos OArdissono LKnijnenburg B(2022)Low-Level Activity Patterns as Indicators of User Familiarity with WebsitesProceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3503252.3531300(153-163)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1145/3503252.3531300
da Silva DRocha AVelloso P(2021)Mobile vs. Non-Mobile Live-Streaming: A Comparative Analysis of Users Engagement and Interruption Using Big Data from a Large CDN PerspectiveSensors10.3390/s2116561621:16(5616)Online publication date: 20-Aug-2021
https://doi.org/10.3390/s21165616
Show More Cited By

Index Terms

User Behavior Characterization of a Large-scale Mobile Live Streaming System
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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Published In

cover image ACM Other conferences

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Sponsors

IW3C2: International World Wide Web Conference Committee

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Research-article

Funding Sources

NSFC
National High-tech R&D Program of China
CAS
National Basic Research Program of China

Conference

WWW '15

Sponsor:

IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Zhong RHan SWang Z(2023)Developing personas for live streaming commerce platforms with user survey dataUniversal Access in the Information Society10.1007/s10209-023-00996-x23:4(1705-1721)Online publication date: 27-Apr-2023
https://doi.org/10.1007/s10209-023-00996-x
Yu HHarper SVigo MBellogin ABoratto LSantos OArdissono LKnijnenburg B(2022)Low-Level Activity Patterns as Indicators of User Familiarity with WebsitesProceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3503252.3531300(153-163)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1145/3503252.3531300
da Silva DRocha AVelloso P(2021)Mobile vs. Non-Mobile Live-Streaming: A Comparative Analysis of Users Engagement and Interruption Using Big Data from a Large CDN PerspectiveSensors10.3390/s2116561621:16(5616)Online publication date: 20-Aug-2021
https://doi.org/10.3390/s21165616
Yan HLin TZeng MWu JLi YJin D(2021)Discovering Usage Patterns of Mobile Video Service in the Cellular NetworksIEEE Transactions on Network and Service Management10.1109/TNSM.2020.304348218:2(1789-1802)Online publication date: Jun-2021
https://doi.org/10.1109/TNSM.2020.3043482
Yan HFu HLi YLin TWang GZheng HJin DZhao B(2021)On Migratory Behavior in Video ConsumptionIEEE Transactions on Network and Service Management10.1109/TNSM.2020.304346718:2(1775-1788)Online publication date: Jun-2021
https://doi.org/10.1109/TNSM.2020.3043467
Liu JYan HLi YKaramshuk DSastry NWu DJin D(2021)Discovering and Understanding Geographical Video Viewing Patterns in Urban NeighborhoodsIEEE Transactions on Big Data10.1109/TBDATA.2021.30558607:5(873-884)Online publication date: 1-Nov-2021
https://doi.org/10.1109/TBDATA.2021.3055860
Guarnieri TDrago ICunha ÍAlmeida BAlmeida JVieira A(2021)Modeling large-scale live video streaming client behaviorMultimedia Systems10.1007/s00530-021-00788-4Online publication date: 12-Apr-2021
https://doi.org/10.1007/s00530-021-00788-4
Wehner NSeufert MEgger-Lampl SGardlo BCasas PSchatz RWen Chen CCucchiara RHua XQi GRicci EZhang ZZimmermann R(2020)Scoring HighProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3414016(807-815)Online publication date: 12-Oct-2020
https://dl.acm.org/doi/10.1145/3394171.3414016
Sakr SRazzac AZiade Y(2020)Evaluation of the capacity usage efficiency of LTE networks with impatient video streaming users2020 International Wireless Communications and Mobile Computing (IWCMC)10.1109/IWCMC48107.2020.9148317(88-93)Online publication date: Jun-2020
https://doi.org/10.1109/IWCMC48107.2020.9148317
Carvalho DSilva NCardoso AFazzion EPereira ARocha Ldos Santos JMuchaluat Saade Dda Graça C. Pimentel MMacedo A(2019)A data exploratory methodology to understand the users' interactions in nonlinear web multimedia servicesProceedings of the 25th Brazillian Symposium on Multimedia and the Web10.1145/3323503.3360288(45-52)Online publication date: 29-Oct-2019
https://dl.acm.org/doi/10.1145/3323503.3360288
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