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Eudaimonic and Hedonic Qualities as Predictors of Music Videos’ Relevance to Users: A Human-Centric Study

Published: 16 June 2023 Publication History

Abstract

In this study, we investigated if the user’s eudaimonic and hedonic orientation (EHO) and the eudaimonic and hedonic (EH) scores of a music video contribute to a successful prediction of user preferences. The study was carried out on real content and users in collaboration with the Dutch music video streaming platform XITE. We collected EH annotations from the music expert curator team at XITE and conducted a user study to collect users’ data, including EHO. Using machine learning models, we predicted the relevance of a music video to a user based on the EHO and EH scores. Our results confirmed the hypothesized relationship, with several models outperforming the baseline.

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The file includes the link to the dataset.

References

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Cited By

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  • (2024)Inferring Eudaimonia and Hedonia from Digital TracesA Human-Centered Perspective of Intelligent Personalized Environments and Systems10.1007/978-3-031-55109-3_6(165-182)Online publication date: 1-May-2024

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Published In

cover image ACM Conferences
UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
June 2023
446 pages
ISBN:9781450398916
DOI:10.1145/3563359
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: 16 June 2023

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Author Tags

  1. eudaimonia
  2. hedonia
  3. music video
  4. personalization
  5. recommender systems

Qualifiers

  • Extended-abstract
  • Research
  • Refereed limited

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The file includes the link to the dataset. https://dl.acm.org/doi/10.1145/3563359.3597415#linktodataset.pdf

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UMAP '23
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Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

View all
  • (2024)Inferring Eudaimonia and Hedonia from Digital TracesA Human-Centered Perspective of Intelligent Personalized Environments and Systems10.1007/978-3-031-55109-3_6(165-182)Online publication date: 1-May-2024

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