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
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., Hendrickx, J., & Ballon, P. (2022). We're in this together: a multi-stakeholder approach for news recommenders. Digital Journalism. https://doi.org/10.1080/21670811.2021.2024079 🏆 WOMEN IN RECSYS JOURNAL PAPER OF THE YEAR AWARD 2023 (ACM RECSYS)
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
Hendrickx, J., Smets, A., & Ballon, P. (2021). News Recommender Systems and News Diversity, Two of a Kind? A Case Study from a Small Media Market. Journalism and Media, 2(3), 515-528. https://doi.org/10.3390/journalmedia2030031
Smets, A., Vannieuwenhuyze, J., & Ballon, P. (2021). Serendipity in the city: user evaluations of urban recommender systems. Journal of The Association For Information Science And Technology, 73(1), 19-30. https://doi.org/10.1002/asi.24552
Ranaivoson, H., Smets, A. & Ballon, P. (2024). Challenges and opportunities for recommender systems in media markets. In U. Rohn, M. Rimscha & T. Raats (Ed.), De Gruyter Handbook of Media Economics (pp. 215-228). Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110793444-015
Ballon, P., & Smets, A. (2021). De slimme stad: stedelijke dataficatie in theorie en praktijk. In G-J. Hospers, & P. Renooy (Eds.), De wereld van de stad: Theorie, praktijk, toekomst (pp. 163-178). Berhauser Pont Publishing.
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.
Dumarey, N., Heyman, R., van Leeuwen, C., Smets, A. & Heymans, F. (2020). Artificiële intelligentie voor lokale besturen. Brussel: Politea.
Maes, U., Michiels, L., & Smets, A. (2024). GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs. In Proceedings of the 18th ACM Conference on Recommender Systems.
Vandenbroucke, H., & Smets, A. (2024). It's (Not) All About That CTR: a Multi-Stakeholder Perspective on News Recommender Metrics. In Proceedings of the 18th ACM Conference on Recommender Systems. https://doi.org/10.1145/3640457.3688183 [pre-print available]
Binst, B., Vandenbroucke, H., Li, D., Puskas, I., Van der Elst, P., & Smets, A. (2024). Towards a Pragmatic Approach for studying Normative Recommender Systems: Exploring Power Dynamics in Digital Platform Markets. In Proceedings of the the First Workshop on Normative Design and Evaluation of Recommender Systems. CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3639/paper1.pdf
Smets, A., Michiels, L., Bogers, T., & Björneborn, L. (2022). Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. In Joint Workshop on Interfaces and Human Decision Making at RecSys 2022 (pp. 44-66). CEUR Workshop Proceedings. http://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). ACM. https://doi.org/10.1145/3511047.3538028
van Leeuwen, C., Smets, A., Jacobs, A., & Ballon, P. (2020). Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making. In 1st Workshop on Bias and Fairness in AI (BIAS 2020) (pp. 1-8)
Smets, A., Walravens, N., & Ballon, P. (2020). Designing Recommender Systems for the Common Good. In Adjunct Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (pp. 276-278). ACM.
https://doi.org/10.1145/3386392.3399570
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
Smets, A., & Lievens, B. (2019). Human Sensemaking in the Smart City: A Research Approach Merging Big and Thick Data. In 2018 Ethnographic Praxis in Industry Conference Proceedings (Vol. 1, pp. 179-194). American Anthropological Association. https://doi.org/10.1111/1559-8918.2018.01203
Smets, A., Lievens, B., & D'Hauwers, R. (2018). Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study. In R. Grant, T. Allen, A. Spink, & M. Sullivan (Eds.), Measuring Behavior 2018: 11th International Conference on Methods and Techniques in Behavioral Research (pp. 323-329).
Smets, A., & Lievens, B. (2018). Nudging sustainable behaviour: the use of data-driven nudges to support a circular economy in smart cities. In E. Aarrevaara, & A. Harjapää (Eds.), Smart Cities in Smart Regions 2018 : Conference Proceedings (pp. 151-161).
Smets, A. (2022). Serendipity as a Shared Value in Urban Recommender Systems. PhD Thesis. Vrije Universiteit Brussel.