Annelien Smets

Orcid: 0000-0003-4771-7159

According to our database1, Annelien Smets authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Designing for serendipity: a means or an end?
J. Documentation, 2023

How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News.
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.
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.
Telematics Informatics, 2022

Serendipity in the city: User evaluations of urban recommender systems.
J. Assoc. Inf. Sci. Technol., 2022

What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work.
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.
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.
SIGKDD Explor., 2021

2020
Designing Recommender Systems for the Common Good.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Interactive Route Personalization Using Regions of Interest.
Proceedings of the Current Trends in Web Engineering, 2020

2019
Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble.
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019


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