Publications
This page contains the deliverables and scientific output of
the Serendipity Engine project. Contact us for more information about
the publications and reports.
Related works from our team
Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design
Smets, A., Michiels, L., Bogers, T., & Björneborn, L. (2022). Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design. In 16th ACM Conference on Recommender Systems. CEUR Workshop Proceedings (pp. 44-66). https://ceur-ws.org/Vol-3222/paper4.pdf
Designing for Serendipity, a Means or an End?
Smets, A. (2022). Designing for Serendipity, a Means or an End?. Journal of Documentation. https://doi.org/10.1108/JD-12-2021-0234 (PDF)
Michiels, L., Leysen, J., Smets, A., & Goethals, B. (2022). What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 274-279). https://doi.org/10.1145/3511047.3538028
Michiels, L., Verachtert, R., & Goethals, B. (2022). RecPack: An (other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. In Proceedings of the 16th ACM Conference on Recommender Systems (pp. 648-651). https://doi.org/10.1145/3523227.3551472
Methodological Analysis of Personalization in Urban Recommender Systems by Distance Measures.
Vannieuwenhuyze, J., Smets, A., Gebert, M., & Ballon, P. (2022). Methodological Analysis of Personalization in Urban Recommender Systems by Distance Measures. Telematics and Informatics, 71. https://doi.org/10.1016/j.tele.2022.101818
Mediated by Code: Unpacking Algorithmic Curation of Urban Experiences
Smets, A., Ballon, P., & Walravens, N. (2021). Mediated by Code: Unpacking Algorithmic Curation of Urban Experiences. Media and Communication, 9(4), 250-259. https://doi.org/10.17645/mac.v9i4.4086 (PDF)
Using Regions of Interest for Personalized Route Planning
Delva, H., Smets, A., Colpaert, P., Ballon, P., & Verborgh, R. (2020). Using Regions of Interest for Personalized Route Planning. In Proceedings of the 2nd International Workshop on Semantics for Transport (pp. 47-52). Springer.
https://link.springer.com/chapter/10.1007/978-3-030-65665-2_5
Does the bubble go beyond? An exploration of the urban filter bubble.
Smets, A., Montero, E., & Ballon, P. (2019). Does the bubble go beyond? An exploration of the urban filter bubble. In The 1st Workshop on the Impact of Recommender Systems with ACM RecSys 2019 (Vol. 2462). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-2462/paper3.pdf