Publications

Tam, B., Taelman, R., Rojas-Melendez, J., Colpaert, P. (2024). Optimizing Traversal Queries of Sensor Data Using a Rule-Based Reachability Approach, In proceedings of the 23rd International Semantic Web Conference (ISWC).

Michiels, L., Vannieuwenhuyze, J., Leysen, J., Verachtert, R., Smets, A., & Goethals, B. (2023). How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. In Proceedings of the 17th ACM Conference on Recommender Systems. https://doi.org/10.1145/3604915.3608805

Binst, B., Vandenbroucke, H.,  Li, D., Puskas, I., Van der Elst, P. & Smets, A. (2023). Towards a Pragmatic Approach for Studying Normative Recommender Systems: Exploring Power Dynamics in Digital Platform Markets. The First Workshop on Normative Design and Evaluation of Recommender Systems.

Michiels, L., Verachtert, R., Ferraro, A., Falk, K., & Goethals, B. (2023). A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. ACM Transactions on Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3591109

Smets, A. (2023). Designing for serendipity: a means or an end?. Journal of Documentation, 79(3), 589-607. https://doi.org/10.1108/JD-12-2021-0234

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

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. (2020). Efficiënt maar suboptimaal: onze digitale communicatie heeft nood aan serendipiteit. In Post Viraal naar een Nieuw Normaal (pp. 209-216). VUBPress. 

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 

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