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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2025
Data sources: ZENODO
ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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Interview transcripts: Brett Binst, Lien Michiels, and Annelien Smets (2025). What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP '25)

Authors: Binst, Brett;

Interview transcripts: Brett Binst, Lien Michiels, and Annelien Smets (2025). What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP '25)

Abstract

In this repository we provide the interview transcripts on which we based “Brett Binst, Lien Michiels, and Annelien Smets. 2025. What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. In 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’25), June 16–19, 2025, New York City, NY, USA. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3699682.3728325” Small talk not related to the research topic, information that make the respondents identifiable, and sensitive information about the respondents are removed from the transcripts. Afterwards, the interviews have been translated to English, since they were originally done in Dutch. We have translated the interviews with the help of ChatGPT 4o. We turned off the “Improve the model for everyone” option. All translations have been carefully proofread and compared to the original transcript in order to guarantee a translation that remains authentic to the original interview. All respondents also gave their informed consent for publishing these interview transcripts on Zenodo.

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Keywords

Recommender System, Serendipity, Recommendation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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