Martijn Willemsen The recommender LAB of Martijn Willemsen researches how decisions can be supported by recommender systems, and includes domains such as movies, music, health related decisions and energy-saving measures. The LAB focuses on how insights from decision psychology can improve recommender algorithms, how to best evaluate recommender systems and on novel recommendation methods that help users with developing preferences and goals.

E-coaching and lifestyle recommendations

Withing the Data Science Centre Eindhoven we collobrate with Philips research in a Data Science Flagship project. A central topic in these flagship projects is e-coaching and behavioral change, and the use of recommender systems to help user reach their goals. For this, novel recommender approaches are needed (see Ekstrand and Willemsen, 2016). Our current work involves research on how human coaches and e-coaching technologies can work together to improve the coaching process (Rutjes et al., 2016) and how users can be supported in managing and reducing their hypertension (Radha et al., 2016)

Relevant research papers:

  • Ekstrand, M. D. & Willemsen, M.C. (2016). Behaviorism is Not Enough: Better Recommendations through Listening to Users. Accepted by the 10th ACM conference on Recommender Systems, September 2016 free access via ACM
  • Radha, M., Willemsen, M.C., Boerhof, M. & IJsselsteijn, W.A. (2016). Feasibility-Tailored Recommendations for Blood Pressure Management, User modeling, adaptation and personalization : 24rd International Conference, UMAP 2016, Halifax, Canada: July 13-16 free access via ACM
  • Rutjes, H., Willemsen, M.C. & IJsselsteijn, W.A. (2016). Understanding Effective Coaching on Healthy Lifestyle by Combining Theory- and Data-driven Approaches CEUR-WS Workshop Proceedings, Vol 1582, 26-29 (Proceedings of the International Workshop on Personalization in Persuasive Technology co-located with the 11th International Conference on Persuasive Technology (PT 2016)) link to paper