Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Lukas De Kerpel

Faculty of Economics and Business Administration > Department of Marketing, Innovation and Organisation

ORCID iD: 0000-0001-6860-8344

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- Journal Article
- A2
- open access
A reward-informed semi-personalized bandit approach for enhancing accuracy and serendipity in online slate recommendations

Lukas De Kerpel (UGent) and Dries Benoit (UGent)

(2025) ACM TRANSACTIONS ON RECOMMENDER SYSTEMS.
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- Journal Article
- A1
EXPRESS : employee Influencers : leveraging employee advocacy for social media success

Laura De Kerpel (UGent) , Anneleen Van Kerckhove (UGent) , Gudrun Roose (UGent) and Lukas De Kerpel (UGent)

(2025) JOURNAL OF INTERACTIVE MARKETING.
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A deep learning approach for analyzing visual and textual content in Tintin comics

Lukas De Kerpel (UGent) , Toon Van Camp (UGent) , Azat Şaşkal and Dries Benoit (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.108-109
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Towards effective and efficient personalized ranking in news article recommender systems : balancing clicks and diversity

Lukas De Kerpel (UGent) and Dries Benoit (UGent)

(2024) EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII). p.22-22
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- Conference Paper
- C3
- open access
Integrating AI into CAD systems : manufacturing cost estimation and redesign proposal

Lukas De Kerpel (UGent) and Dries Benoit (UGent)

(2023) Flanders Make Conference on Machines, Vehicles and Production Technology (CMVPT) 2023, Abstracts.
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The off-policy evaluation of Bayesian contextual bandit strategies in an e-commerce recommender system

Lukas De Kerpel (UGent) and Dries Benoit (UGent)

(2022) EURO 2022 : conference handbook and abstracts : 32nd European Conference on Operational Research (EURO XXXII). p.243-243