Recommender systems have been put to use in the entertainment and e-commerce domains for decades, and in these decades, recommender systems have grown and matured into reliable and ubiquitous systems in today’s digital landscape. Relying on this maturity, the application of recommender systems for health and well-being has seen a rise in recent years, paving the way for tailored and personalized systems that support caretakers, caregivers, and other users in the health domain. In this introduction, we give a brief overview of the stakes, the requirements, and the possibilities that recommender systems for health and well-being bring
(Authors and affiliations removed for blind review) Abstract—This paper describes a recommender syst...
The origins of modern recommender systems date back to the early 1990s when they were mainly applied...
Abstract: During the last decades huge amounts of data have been collected in clinical databases rep...
Recommender systems have been put to use in the entertainment and e-commerce domains for decades, an...
Objective Tailored digital health programs can promote positive health-related lifestyle changes and...
Background: Recommender systems are information retrieval systems that provide users with relevant i...
Objective:Tailored digital health programs can promote positive health-related lifestyle changes and...
Nowadays, a vast amount of clinical data scattered across different sites on the Internet hinders us...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
During the last decades huge amounts of data have been collected in clinical databases representing ...
Recommender systems have been part of the Internet for almost two decades. Dozens of vendors have bu...
© 2015 Elsevier B.V. A recommender system aims to provide users with personalized online product or ...
Part 4: HEALTHIOTInternational audienceRecommender systems can help to more easily identify relevant...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
How can you discover something new, that matches your interest? Recommender Systems have been studie...
(Authors and affiliations removed for blind review) Abstract—This paper describes a recommender syst...
The origins of modern recommender systems date back to the early 1990s when they were mainly applied...
Abstract: During the last decades huge amounts of data have been collected in clinical databases rep...
Recommender systems have been put to use in the entertainment and e-commerce domains for decades, an...
Objective Tailored digital health programs can promote positive health-related lifestyle changes and...
Background: Recommender systems are information retrieval systems that provide users with relevant i...
Objective:Tailored digital health programs can promote positive health-related lifestyle changes and...
Nowadays, a vast amount of clinical data scattered across different sites on the Internet hinders us...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
During the last decades huge amounts of data have been collected in clinical databases representing ...
Recommender systems have been part of the Internet for almost two decades. Dozens of vendors have bu...
© 2015 Elsevier B.V. A recommender system aims to provide users with personalized online product or ...
Part 4: HEALTHIOTInternational audienceRecommender systems can help to more easily identify relevant...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
How can you discover something new, that matches your interest? Recommender Systems have been studie...
(Authors and affiliations removed for blind review) Abstract—This paper describes a recommender syst...
The origins of modern recommender systems date back to the early 1990s when they were mainly applied...
Abstract: During the last decades huge amounts of data have been collected in clinical databases rep...