| 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 | 51 | 2022 |
| We’re in This Together: A Multi-Stakeholder Approach for News Recommenders A Smets, J Hendrickx, P Ballon Digital Journalism, 1-19, 2022 | 31 | 2022 |
| 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 | 26 | 2021 |
| 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 | 17 | 2021 |
| Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design A Smets, L Michiels, T Bogers, L Björneborn 16th ACM Conference on Recommender Systems, 44-66, 2022 | 15 | 2022 |
| 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 | 13 | 2018 |
| 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 | 11 | 2021 |
| Mediated by Code: Unpacking Algorithmic Curation of Urban Experiences A Smets, P Ballon, N Walravens Media and Communication 9 (3), 2021 | 11 | 2021 |
| How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News L Michiels, J Vannieuwenhuyze, J Leysen, R Verachtert, A Smets, ... Proceedings of the 17th ACM Conference on Recommender Systems, 640-651, 2023 | 10 | 2023 |
| Designing for serendipity: a means or an end? A Smets Journal of Documentation 79 (3), 589-607, 2023 | 10 | 2023 |
| Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble A Smets, E Montero, P Ballon | 7* | 2019 |
| 15 Challenges and opportunities for recommender systems in media markets H Ranaivoson, A Smets, P Ballon De Gruyter Handbook of Media Economics, 215, 2024 | 5 | 2024 |
| 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 | 5 | 2020 |
| Serendipity as a Shared Value in Urban Recommender Systems A Smets Phd thesis, Vrije Universiteit Brussel, 2022 | 4 | 2022 |
| 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 | 4 | 2018 |
| 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 | 4 | 2018 |
| 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 | 2 | 2018 |
| 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 | 1 | 2020 |
| Policy Brief# 79-Wetenschapscommunicatie en AI in Vlaanderen H Vandenbroucke, A Smets, J Peeters | | 2024 |
| GenUI (ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs U Maes, L Michiels, A Smets Proceedings of the 18th ACM Conference on Recommender Systems, 2024 | | 2024 |
Pieter BallonIBBT-SMIT, Vrije Universiteit Brussel, Belgiumvub.ac.be의 이메일 확인됨