Health recommender system

The users’ perspective on the privacy-utility trade-offs in health recommender systems

Privacy is a major good for users of personalized services such as recommender systems. When applied to the field of health informatics, privacy concerns of users may be amplified, but the possible utility of such services is also high. Despite …

Hybrid collaboration recommendation from bibliometric data

Medical product development is becoming more and more complex and requires highly-specialized and interdisciplinary collaborations. Their success relies essentially on the selection of suitable partners. However, how to find suitable partners and how …

Towards health (aware) recommender systems

People increasingly use the Internet for obtaining information regarding diseases, diagnoses and available treatments. Currently, many online health portals already provide non-personalized health information in the form of articles. However, it can …

Recommender systems for health informatics: state-of-the-art and future perspectives

Recommender systems are a classical example for machine learning applications, however, they have not yet been used extensively in health informatics and medical scenarios. We argue that this is due to the specifics of benchmarking criteria in …