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Annelien Smets
Annelien Smets
imec-SMIT-VUB
Verified email at smitresearch.be
Title
Cited by
Cited by
Year
We’re in This Together: A Multi-Stakeholder Approach for News Recommenders
A Smets, J Hendrickx, P Ballon
Digital Journalism, 1-19, 2022
92022
News Recommender Systems and News Diversity, Two of a Kind? A Case Study from a Small Media Market
J Hendrickx, A Smets, P Ballon
Journalism and Media 2 (3), 515-528, 2021
82021
Blind spots in AI: the role of serendipity and equity in algorithm-based decision-making
C van Leeuwen, A Smets, A Jacobs, P Ballon
ACM SIGKDD Explorations Newsletter 23 (1), 42-49, 2021
72021
Human Sensemaking in the Smart City: A Research Approach Merging Big and Thick Data
A Smets, B Lievens
Ethnographic Praxis in Industry Conference Proceedings 2018 (1), 179-194, 2018
72018
Serendipity in the city: User evaluations of urban recommender systems
A Smets, J Vannieuwenhuyze, P Ballon
Journal of the Association for Information Science and Technology 73 (1), 19-30, 2021
62021
Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble
A Smets, E Montero, P Ballon
5*2019
Designing Recommender Systems for the Common Good
A Smets, N Walravens, P Ballon
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation†…, 2020
42020
Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study
A Smets, B Lievens, R D’Hauwers
Measuring Behavior 2018, 2018
32018
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
L Michiels, J Leysen, A Smets, B Goethals
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation†…, 2022
22022
Mediated by Code: Unpacking Algorithmic Curation of Urban Experiences
A Smets, P Ballon, N Walravens
Media and Communication 9 (3), 2021
22021
Nudging Sustainable Behaviour: The Use of Data-driven Nudges to Support a Circular Economy in Smart Cities
A Smets, B Lievens
Smart Cities in Smart Regions 2018, 151, 2018
22018
Serendipity as a Shared Value in Urban Recommender Systems
A Smets
Phd thesis, Vrije Universiteit Brussel, 2022
12022
Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design
A Smets, L Michiels, T Bogers, L BjŲrneborn
16th ACM Conference on Recommender Systems, 44-66, 2022
12022
Using Regions of Interest for Personalized Route Planning
H Delva, A Smets, P Colpaert, P Ballon, R Verborgh
Proceedings of the 2nd International Workshop on Semantics for Transport, 47-52, 2020
12020
Behaviour Monitoring in Context: a Methodology for Measuring the Impact of the Human Factor on Smart Cities Big Data and Technologies
F Spagnoli, S van der Graaf, A Smets
Measuring Behavior 2018, 2018
12018
Methodological analysis of personalization in urban recommender systems by distance measures
J Vannieuwenhuyze, A Smets, M Gebert, P Ballon
Telematics and Informatics 71, 101818, 2022
2022
De slimme stad: stedelijke dataficatie in theorie en praktijk
P Ballon, A Smets
De wereld van de stad: Theorie, praktijk, toekomst., 2021
2021
Interactive Route Personalization Using Regions of Interest
H Delva, A Smets, P Colpaert, P Ballon, R Verborgh
International Conference on Web Engineering, 47-52, 2020
2020
ArtificiŽle Intelligentie voor lokale besturen van artificiŽle naar reŽle meerwaarde
N Dumarey, R Heyman, A Smets, C Van Leeuwen, F HEYMANS
2020
EfficiŽnt maar suboptimaal: onze digitale communicatie heeft nood aan serendipiteit
A Smets, P Ballon
Post Viraal naar een Nieuw Normaal, 209-216, 2020
2020
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Articles 1–20