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Kim Falk

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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affiliation: DPG Media, Belgium
affiliation (former): Shopify, Canada

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2026
[c5]
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  - conf/um/VerachtertFB26
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  - https://dblp.org/rec/conf/um/VerachtertFB26
Robin Verachtert, Kim Falk, Christine Bauer:
Enhancing Diversity in News Recommendations Increases Click-Through Rates: Insights from an Online Experiment and User Study. UMAP 2026: 40-49
2025
[c4]
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Kim Falk:
Multi-Armed Bandits in the Wild. RecSys 2025: 1430-1431
2024
[j1]
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Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals:
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. 2(1): 4:1-4:45 (2024)
2023
[c3]
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Kim Falk, Morten Arngren:
Recommenders In the wild - Practical Evaluation Methods. RecSys 2023: 1
2022
[c2]
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Kim Falk, Chen Karako:
Optimizing product recommendations for millions of merchants. RecSys 2022: 499-501
[c1]
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  - electronic edition @ ceur-ws.org (open access)
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Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals:
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. Perspectives@RecSys 2022
2020
[e1]
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Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen, Kim Falk, Noam Koenigstein, Edleno Silva de Moura:
RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020. ACM 2020, ISBN 978-1-4503-7583-2 [contents]

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last updated on 2026-06-24 00:39 CEST by the dblp team

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