We are pleased to announce the Workshop on Health Recommender Systems co-located with the 14th ACM Conference on Recommender Systems, 26th September 2020, Rio de Janeiro, Brazil.
Recommendations are becoming evermore important in health settings with the aim being to assist people live healthier lives. Four previous workshops on Health Recommender Systems (HRS) have incorporated diverse research fields and problems in which recommender systems can improve our awareness, understanding and behaviour regarding our own, and the general public's health. At the same time, these application areas bring new challenges into the recommender community. Recommendations that influence the health status of a patient need to be legally sound and, as such, today, they often involve a human in the loop to make sure the recommendations are appropriate. To make the recommender infallible, complex domain-specific user models need to be created, which creates privacy issues. While trust in a recommendation needs to be explicitly earned through, for example, transparency, explanations and empowerment, other systems might want to persuade users into taking beneficial actions that would not be willingly chosen otherwise. Multiple and diverse stakeholders in health systems produce further challenges. Taking the patient's perspective, simple interaction and safety against harmful recommendations might be the prioritized concern. For clinicians and experts, on the other hand, what matters is precise and accurate content. Healthcare and insurance providers and clinics all have other priorities. This workshop will deepen the discussions started at the four prior workshops and will work towards further development of the research topics in Health Recommender Systems.
Our aim is to enhance the results of the first two workshops in the following areas:
We invite submissions that may include the following topics, but are not limited to:
The goal of this workshop is to share and discuss research and projects that reach beyond classic recommender techniques and discuss health domain related challenges of recommender systems.
We solicit short research papers (Up to 6 pages) and short position papers (2 pages), both in the ACM conference paper style. Participants can decide between a research focused submission and a project focused submission. We especially encourage the submission of COVID-19-related works. To prioritize such contributions, related submissions to COVID-19 have no page limits. A selection of best papers will be presented in a flash talk. Further papers will be presented in the form of a poster. Papers should be submitted in EasyChair.
Submission category research: innovative research ideas, preliminary results or system prototypes
Submission category project: funded research projects, industry and research collaborations or health-care and research collaborations
Submission guidelines: All submitted papers must
Link or demo in attachment are preferred in both cases. All papers will be peer-reviewed, must not be under review in any other conference, workshop or journal (at the time of submission), and must contain novel contributions. Accepted papers will be published according to the ACM RECSYS 2019 WS publication rules.
Title: "Health Personalisation: From Wellbeing to Medicine"
Current agenda of health personalisation and recommendation research mainly revolves around lifestyle and wellbeing. A number of works on personalised technologies for physical activity, food intake, mental support, health information consumption, and more have been presented at the HealthRecSys workshops and related conferences. While these mainly addressed the patient as the recipient of the personalised service, strikingly little attention has been paid to personalised medical applications targeting clinical users. In this talk, we turn the spotlight to such medical use cases and the advantages personalisation can bring there. We will overview the established health care processes and highlight the touch points, where personalised support can improve the clinician's decision making. Also, we will discuss the differences between patient- and clinician-facing personalisation, particularly focussing on transparency and explainability. All these will be exemplified with recent and ongoing projects in personalised health.
Shlomo Berkovsky is a Computer Scientist, with theoretical and applied expertise in several areas related to human-centric applications of artificial intelligence. He leads the Precision Health stream of the Australian Institute of Health Innovation, which focusses on the application of machine learning methods to develop patient models and personalised predictions of diagnosis and care. He also studies how sensors and physiological responses can predict medical conditions, and how clinicians and patients interact with health technologies.
1.00 PM-2.30 PM GMT Opening and Keynote: "Health Personalisation: From Wellbeing to Medicine" Link to recording
2.30 PM-3.30 PM GMT Break
3.30 PM-5.00 PM GMT Paper presentations Link to recording
5.00 PM-6.00 PM GMT Break
6.00 PM-7.30 PM GMT Group discussion on collected topics
Laura Burbach, Poornima Belavadi, Patrick Halbach, Nils Plettenberg, Johannes Nakayama, Lilian Kojan and André Calero Valdez
Vaibhav Pandey, Dhruv Deepak Upadhyay, Nitish Nag and Ramesh Jain
Florian Pecune, Lucile Callebert and Stacy Marsella
Jatin Aswal and Nisheeth Srivastava
Lars Boecking and Patrick Philipp
as well as here as a single document.
If you have questions regarding the workshop, do not hesitate to contact the workshop chairs: email@example.com
We have organized a UMUAI Special Issue on Recommender Systems for Health and Wellbeing (Journal Impact Factor: 2.9). Deadline was November 2019.
All papers of the 2019 Workshop in Health Recommender Systems can be found here.
All papers of the 2018 Workshop in Health Recommender Systems can be found here.
All papers of the 2017 Workshop in Health Recommender Systems can be found here.
All papers of the 2016 Workshop in Health Recommender Systems can be found here.