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Machine Learning for Streaming Media

Published:30 April 2023Publication History

ABSTRACT

Streaming media has become a popular medium for consumers of all ages, with people spending several hours a day streaming videos, games, music, or podcasts across devices. Most global streaming services have introduced Machine Learning (ML) into their operations to personalize consumer experience, improve content, and further enhance the value proposition of streaming services. Despite the rapid growth, there is a need to bridge the gap between academic research and industry requirements and build connections between researchers and practitioners in the field. This workshop aims to provide a unique forum for practitioners and researchers interested in Machine Learning to get together, exchange ideas and get a pulse for the state of the art in research and burning issues in the industry.

References

  1. [1] IFPI. 2022. https://www.ifpi.org/wp-content/uploads/2022/04/IFPI_Global_Music_Report_2022-State_of_the_Industry.pdf. Accessed: 2022-11-07.Google ScholarGoogle Scholar
  2. [2] Insider Intelligence. 2021. https://www.insiderintelligence.com/content/impressive-resilience-of-digital-audio. Accessed: 2022-11-07.Google ScholarGoogle Scholar
  3. [3] Nielsen. 2022. https://www.nielsen.com/news-center/2022/nielsens-state-of-play-report-reveals-that-streaming-is-the-future-but-consumers-are-currently-overwhelmed-by-choice. Accessed: 2022-11-07.Google ScholarGoogle Scholar
  4. [4] Nielsen. 2022. https://www.nielsen.com/insights/2022/streaming-claims-more-than-one-third-of-total-tv-time-in-june-and-hits-fourth-straight-monthly-viewing-record. Accessed: 2022-11-07.Google ScholarGoogle Scholar
  5. [5] Business of Apps. 2022. https://www.businessofapps.com/data/twitch-statistics. Accessed: 2022-11-07.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023
        April 2023
        1567 pages
        ISBN:9781450394192
        DOI:10.1145/3543873

        Copyright © 2023 Owner/Author

        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.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 30 April 2023

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        Qualifiers

        • introduction
        • Research
        • Refereed limited

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        Overall Acceptance Rate1,899of8,196submissions,23%

        Upcoming Conference

        WWW '24
        The ACM Web Conference 2024
        May 13 - 17, 2024
        Singapore , Singapore
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