Annelien Smets

According to our database, Annelien Smets authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Intended, afforded, and experienced serendipity: overcoming the paradox of artificial serendipity.

Annelien Smets

Ethics Inf. Technol., September, 2025

A Bourdieusian theory on communicating an opinion about AI governance.

Brett Binst, Tuba Bircan, Annelien Smets

AI Soc., June, 2025

What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems.

Brett Binst, Lien Michiels, Annelien Smets

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness.

Ulysse Maes, Lien Michiels, Annelien Smets

Proceedings of the Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025), 2025

2024

It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics.

Hanne Vandenbroucke, Annelien Smets

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs.

Ulysse Maes, Lien Michiels, Annelien Smets

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Designing for serendipity: a means or an end?

Annelien Smets

J. Documentation, 2023

How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News.

Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Towards a Pragmatic Approach for studying Normative Recommender Systems: exploring Power Dynamics in Digital Platform Markets.

Brett Binst, Hanne Vandenbroucke, Donqxiao Li, Isabelle Puskas, Pieter Van der Elst, Annelien Smets

Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Methodological analysis of personalization in urban recommender systems by distance measures.

Jorre T. A. Vannieuwenhuyze, Annelien Smets, Martin Gebert, Pieter Ballon

Telematics Informatics, 2022

Serendipity in the city: User evaluations of urban recommender systems.

Annelien Smets, Jorre T. A. Vannieuwenhuyze, Pieter Ballon

J. Assoc. Inf. Sci. Technol., 2022

What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work.

Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design.

Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn

Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

2021

Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making.

Cora van Leeuwen, Annelien Smets, An Jacobs, Pieter Ballon

SIGKDD Explor., 2021

2020

Designing Recommender Systems for the Common Good.

Annelien Smets, Nils Walravens, Pieter Ballon

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Interactive Route Personalization Using Regions of Interest.

Harm Delva, Annelien Smets, Pieter Colpaert, Pieter Ballon, Ruben Verborgh

Proceedings of the Current Trends in Web Engineering, 2020

2019

Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble.

Annelien Smets, Eladio Montero, Pieter Ballon

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019