Publications

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

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

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  

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)

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

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