research-article

Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste

Authors:

Christophe Charbuillet,

Martin Laurent,

Denis Charrier,

Briana Vecchione,

Ben CarteretteAuthors Info & Claims

SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Pages 1041 - 1050

https://doi.org/10.1145/3397271.3401101

Published: 25 July 2020 Publication History

Abstract

Recommender systems are increasingly used to predict and serve content that aligns with user taste, yet the task of matching new users with relevant content remains a challenge. We consider podcasting to be an emerging medium with rapid growth in adoption, and discuss challenges that arise when applying traditional recommendation approaches to address the cold-start problem. Using music consumption behavior, we examine two main techniques in inferring Spotify users preferences over more than 200k podcasts. Our results show significant improvements in consumption of up to 50% for both offline and online experiments. We provide extensive analysis on model performance and examine the degree to which music data as an input source introduces bias in recommendations.

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Cited By

Tian YAziz MWang APalumbo EBouchard HChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Structural Podcast Content Modeling with GeneralizabilityCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651563(710-713)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589335.3651563
Bangde YSaini N(2024)Multi-view Ensemble Clustering-Based Podcast Recommendation in Indian Regional SettingPattern Recognition10.1007/978-3-031-78107-0_12(184-200)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/978-3-031-78107-0_12
Liang YPonnada ALamere PDaskalova N(2023)Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender SystemsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584032(142-155)Online publication date: 27-Mar-2023
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Published In

cover image ACM Conferences

SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

July 2020

2548 pages

ISBN:9781450380164

DOI:10.1145/3397271

General Chairs:
Jimmy Huang
York University, Canada
,
Yi Chang
Jilin University, China
,
Xueqi Cheng
Chinese Academy of Sciences, China
,
Program Chairs:
Jaap Kamps
University of Amsterdam, Netherlands
,
Vanessa Murdock
Amazon, U.S.A.
,
Ji-Rong Wen
Renmin University of China, China
,
Yiqun Liu
Tsinghua University, China

Copyright © 2020 ACM.

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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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 July 2020

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SIGIR '20

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SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval

July 25 - 30, 2020

Virtual Event, China

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Tian YAziz MWang APalumbo EBouchard HChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Structural Podcast Content Modeling with GeneralizabilityCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651563(710-713)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589335.3651563
Bangde YSaini N(2024)Multi-view Ensemble Clustering-Based Podcast Recommendation in Indian Regional SettingPattern Recognition10.1007/978-3-031-78107-0_12(184-200)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/978-3-031-78107-0_12
Liang YPonnada ALamere PDaskalova N(2023)Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender SystemsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584032(142-155)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584032
Shen YZhao LCheng WZhang ZZhou WKangyi L(2023)RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR PredictionACM Transactions on Information Systems10.1145/356428341:3(1-26)Online publication date: 7-Feb-2023
https://dl.acm.org/doi/10.1145/3564283
Huynh LHuy PHung PDiep V(2023)Video and Audio Linkage in Recommender SystemCooperative Design, Visualization, and Engineering10.1007/978-3-031-43815-8_18(181-192)Online publication date: 18-Sep-2023
https://doi.org/10.1007/978-3-031-43815-8_18
Wang SJi HYin MWang YLu MSun H(2022)Enhanced Graph Learning for Recommendation via Causal InferenceMathematics10.3390/math1011188110:11(1881)Online publication date: 31-May-2022
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Chen ZPiao JLan XCao HGao CLu ZLi Y(2022)Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System DesignProceedings of the ACM on Human-Computer Interaction10.1145/35556466:CSCW2(1-32)Online publication date: 11-Nov-2022
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Nazari ZChandar PFazelnia GEdwards CCarterette BLalmas M(2022)Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast RecommendationsProceedings of the ACM Web Conference 202210.1145/3485447.3512115(2433-2441)Online publication date: 25-Apr-2022
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Fan ZLiu ZWang YWang ANazari ZZheng LPeng HYu P(2022)Sequential Recommendation via Stochastic Self-AttentionProceedings of the ACM Web Conference 202210.1145/3485447.3512077(2036-2047)Online publication date: 25-Apr-2022
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