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On the Challenges of Podcast Search at Spotify

Published: 17 October 2022 Publication History

Abstract

Online music streaming is enjoying ever-growing popularity in the last decades, enabled by the abundance of music content in digital format and online streaming services. In the recent years, podcasts, as a talk-focused media format, have witnessed a rapid growth among listeners. Podcasts come in many forms and sizes. They range from 20-minute daily meditation sessions, weekly recaps of global news, interviews with celebrities, and hosts bantering with each other for hours.
More and more streaming services are now expanding their catalogs to support both music and podcasts on the same platform, such as Amazon Music, Pandora and Spotify. This setup requires an effective aggregated search system to assemble information from heterogeneous information sources and content types (e.g., artist profiles, playlists, podcast shows, etc.) into one result interface in order to support diverse information needs.

References

[1]
Jana Besser, Martha Larson, and Katja Hofmann. 2010. Podcast search: User goals and retrieval technologies. Online information review (2010).
[2]
Ben Carterette, Rosie Jones, Gareth F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, and Ian Soboroff. 2021. Podcast Metadata and Content: Episode Relevance and Attractiveness in Ad Hoc Search. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (Virtual Event, Canada) (SIGIR '21). Association for Computing Machinery, New York, NY, USA, 2247--2251. https://doi.org/10.1145/3404835.3463101
[3]
Praveen Chandar, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, and Jennifer Thom. 2019. Developing evaluation metrics for instant search using mixed methods methods. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 925--928.
[4]
Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, and Benjamin Carterette. 2021. Neural Instant Search for Music and Podcast. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2984--2992.
[5]
Ron Kohavi, Roger Longbotham, Dan Sommerfield, and Randal M. Henne. 2009. Controlled Experiments on the Web: Survey and Practical Guide. Data Ming and Knowledge Discovery. 18, 1 (feb 2009), 140--181. https://doi.org/10.1007/s10618-008-0114--1
[6]
Mounia Lalmas. 2011. Aggregated Search. In Advanced Topics in Information Retrieval, Massimo Melucci and Ricardo Baeza-Yates (Eds.). The Information Retrieval Series, Vol. 33. Springer, 109--123. https://doi.org/10.1007/978--3--642--20946--8_5
[7]
Ganesh Venkataraman, Abhimanyu Lad, Viet Ha-Thuc, and Dhruv Arya. 2016. Instant Search: A Hands-on Tutorial. In SIGIR '16 (Pisa, Italy). ACM, 1211--1214.

Cited By

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  • (2024)Everything We Hear: Towards Tackling Misinformation in PodcastsProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3678959(596-601)Online publication date: 4-Nov-2024
  • (2023)Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic ResearchProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591824(3215-3219)Online publication date: 19-Jul-2023

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    cover image ACM Conferences
    CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management
    October 2022
    5274 pages
    ISBN:9781450392365
    DOI:10.1145/3511808
    • General Chairs:
    • Mohammad Al Hasan,
    • Li Xiong
    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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    Published: 17 October 2022

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    • (2024)Everything We Hear: Towards Tackling Misinformation in PodcastsProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3678959(596-601)Online publication date: 4-Nov-2024
    • (2023)Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic ResearchProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591824(3215-3219)Online publication date: 19-Jul-2023

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