Annelien Smets

20 papers A 5Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding user preferences in recommender systems: A systematic review with a user-centric perspective in the audiovisual domain.
Int. J. Hum. Comput. Stud.
Dongxiao Li, Annelien Smets, Heritiana Ranaivoson
2025 J jnl
A Bourdieusian theory on communicating an opinion about AI governance.
AI Soc.
Brett Binst, Tuba Bircan, Annelien Smets
2025 J jnl
Intended, afforded, and experienced serendipity: overcoming the paradox of artificial serendipity.
Ethics Inf. Technol.
Annelien Smets
2025 — conf
Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness.
IUI Workshops
Ulysse Maes, Lien Michiels, Annelien Smets
2025 A conf
Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments.
RecSys
Hanne Vandenbroucke, Ulysse Maes, Lien Michiels, Annelien Smets
2025 A conf
What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems.
UMAP
Brett Binst, Lien Michiels, Annelien Smets
2025 J jnl
What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems.
CoRR
Brett Binst, Lien Michiels, Annelien Smets
2024 A conf
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs.
RecSys
Ulysse Maes, Lien Michiels, Annelien Smets
2024 A conf
It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics.
RecSys
Hanne Vandenbroucke, Annelien Smets
2023 J jnl
Designing for serendipity: a means or an end?
J. Documentation
Annelien Smets
2023 A conf
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News.
RecSys
Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals
2023 — conf
Towards a Pragmatic Approach for studying Normative Recommender Systems: exploring Power Dynamics in Digital Platform Markets.
NORMalize@RecSys
Brett Binst, Hanne Vandenbroucke, Donqxiao Li, Isabelle Puskas, Pieter Van der Elst, Annelien Smets
2022 J jnl
Methodological analysis of personalization in urban recommender systems by distance measures.
Telematics Informatics
Jorre T. A. Vannieuwenhuyze, Annelien Smets, Martin Gebert, Pieter Ballon
2022 — conf
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design.
IntRS@RecSys
Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn
2022 J jnl
Serendipity in the city: User evaluations of urban recommender systems.
J. Assoc. Inf. Sci. Technol.
Annelien Smets, Jorre T. A. Vannieuwenhuyze, Pieter Ballon
2022 — conf
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work.
UMAP (Adjunct Publication)
Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals
2021 J jnl
Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making.
SIGKDD Explor.
Cora van Leeuwen, Annelien Smets, An Jacobs, Pieter Ballon
2020 — conf
Designing Recommender Systems for the Common Good.
UMAP (Adjunct Publication)
Annelien Smets, Nils Walravens, Pieter Ballon
2020 — conf
Interactive Route Personalization Using Regions of Interest.
ICWE Workshops
Harm Delva, Annelien Smets, Pieter Colpaert, Pieter Ballon, Ruben Verborgh
2019 — conf
Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble.
ImpactRS@RecSys
Annelien Smets, Eladio Montero, Pieter Ballon