Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Ine Coppens

Faculty of Engineering and Architecture > Department of Information technology

ORCID iD: 0000-0002-3051-506X

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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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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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Comparing familiar with inspiring recommendations to assist people in moving more

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

(2023) IUI-WS 23 : Workshops at the International Conference on Intelligent User Interfaces (IUI) 2023. In CEUR Workshop Proceedings 3359. p.8-16
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Evaluating facial recognition services as interaction technique for recommender systems

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

(2020) MULTIMEDIA TOOLS AND APPLICATIONS. 79(31-32). p.23547-23570
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Using facial recognition services as implicit feedback for recommenders

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

(2019) Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019). In CEUR Workshop Proceedings 2450. p.28-35