Academic Bibliography

Search 200 years of publications by Ghent University researchers.

prof. dr. ir. Toon De Pessemier

Faculty of Engineering and Architecture > Department of Information technology

ORCID iD: 0000-0002-3920-7346

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Improving selection diversity using hybrid graph-based news recommenders

Stefaan Vercoutere (UGent) , Glen Joris (UGent) , Toon De Pessemier (UGent) and Luc Martens (UGent)

(2024) USER MODELING AND USER-ADAPTED INTERACTION. 34(4). p.955-993
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Travel route and formation optimization for flocks of drones in package delivery by using an ACO based V-shape algorithm

Erik De Kuyffer (UGent) , Wout Joseph (UGent) , Luc Martens (UGent) and Toon De Pessemier (UGent)

(2024) RESULTS IN ENGINEERING. 24.
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- C1
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Explaining decision-making between exploration and repetition : key factors for physical activity recommendations

Ine Coppens (UGent) , Toon De Pessemier (UGent) and Luc Martens (UGent)

(2024) HealthRecSys 2024 : Health Recommender Systems 2024 : Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024). In CEUR Workshop Proceedings 3823. p.8-14
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Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity : a longitudinal randomized controlled trial

Ine Coppens (UGent) , Toon De Pessemier (UGent) and Luc Martens (UGent)

(2024) USER MODELING AND USER-ADAPTED INTERACTION. 34(5). p.1835-1890
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Balancing habit repetition and new activity exploration : a longitudinal micro-randomized trial in physical activity recommendations

Ine Coppens (UGent) , Toon De Pessemier (UGent) and Luc Martens (UGent)

(2024) PROCEEDINGS OF THE EIGHTEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2024. p.1147-1151
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Repeating my workouts or exploring new activities? A longitudinal micro-randomized user study for physical activity recommender systems

Ine Coppens (UGent) , Toon De Pessemier (UGent) and Luc Martens (UGent)

(2024) ADJUNCT PROCEEDINGS OF THE 32ND ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2024. p.176-182
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Connecting physical activity with context and motivation : a user study to define variables to integrate into mobile health recommenders

Ine Coppens (UGent) , Toon De Pessemier (UGent) and Luc Martens (UGent)

(2024) USER MODELING AND USER-ADAPTED INTERACTION. 34(1). p.147-181
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Recipe recommendations for individual users and groups in a cooking assistance app

Toon De Pessemier (UGent) , Kris Vanhecke (UGent) , Anissa All (UGent) , Stephanie Van Hove (UGent) , Lieven De Marez (UGent) , Luc Martens (UGent) , Wout Joseph (UGent) and David Plets (UGent)

(2023) APPLIED INTELLIGENCE. 53(22). p.27027-27043
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Analyzing accuracy versus diversity in a health recommender system for physical activities : a longitudinal user study

Ine Coppens (UGent) , Luc Martens (UGent) and Toon De Pessemier (UGent)

(2023) Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023). p.1146-1151
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Motivating people to move more with personalized activity and tip recommendations : a randomized controlled trial

Ine Coppens (UGent) , Luc Martens (UGent) and Toon De Pessemier (UGent)

(2023) IUI '23 Companion : Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. p.123-126

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