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Ine Coppens
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2020 – today
- 2024
- [j2]Ine Coppens, Toon De Pessemier, Luc Martens:
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. User Model. User Adapt. Interact. 34(1): 147-181 (2024) - [c6]Ine Coppens
, Toon De Pessemier
Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations. RecSys 2024: 1147-1151 - [c5]Ine Coppens
Repeating my Workouts or Exploring new Activities? A Longitudinal Micro-Randomized User Study for Physical Activity Recommender Systems. UMAP (Adjunct Publication) 2024 - 2023
- [c4]Ine Coppens, Luc Martens, Toon De Pessemier:
Comparing Familiar with Inspiring Recommendations to Assist People in Moving More 8-16. IUI Workshops 2023: 8-16 - [c3]Ine Coppens
Motivating People to Move More with Personalized Activity and Tip Recommendations: a Randomized Controlled Trial. IUI Companion 2023: 123-126 - [c2]Ine Coppens
Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study. RecSys 2023: 1146-1151 - 2020
- [j1]Toon De Pessemier
Evaluating facial recognition services as interaction technique for recommender systems. Multim. Tools Appl. 79(31-32): 23547-23570 (2020)
2010 – 2019
- 2019
- [c1]Toon De Pessemier, Ine Coppens, Luc Martens:
Using Facial Recognition Services as Implicit Feedback for Recommenders. IntRS@RecSys 2019: 28-35
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