
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.
Recommender System, Serendipity, Recommendation
Recommender System, Serendipity, Recommendation
| 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 |
