Workshop on Podcast Recommendations

In 2019, 51% of the United States population had listened to at least one podcast, according to Edison Research’s “Infinite Dial 2019” research study. The percentage of people who listened to a podcast within the last month was 32%, an increase of 23% over the year before. Podcast search engine Listen Notes claims there are over 900,000 podcast shows and over 60,000,000 podcast episodes available through public RSS feeds. Market research firm Omdia forecasts that global podcast advertising revenue will nearly triple over the next five years to total $4.5bn in 2024, and that the number of global podcast monthly listeners will more than double to reach 2.2 billion in 2024.

As a media type, Podcasts are familiar, yet unique: while they are a recorded audio format like music, their content is more diverse, and more akin to television, news, books, and radio. The variety of podcast subjects is vast, and covers news, sports, comedy, fictional narrative, financial, technology, political commentary, and more. Podcast listening patterns also differ from music: they require longer, more dedicated listening time, and the release cadence is usually much more frequent (daily, weekly) than music.

The PodRecs: Workshop on Podcast Recommendations will introduce researchers in other domains of RecSys to the special characteristics and challenges of podcast recommendations, as well as showcase the leading research being done in this area. We hope this workshop will help grow a community of researchers and foster an active research and innovation in the field.

Organizers
  • Ching-Wei Chen, Spotify
  • Longqi Yang, Microsoft
  • Hongyi Wen, Cornell Tech
  • Rosie Jones, Spotify
  • Vladan Radosavljevic, Spotify
  • Hugues Bouchard, Spotify
Website

http://sites.google.com/view/podrecs2020/

Date

Friday afternoon, Sept 25, 2020

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