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https://ceur-ws.org/Vol-2439/preface.pdf
Co-located with the 13th ACM Conference on Recommender Systems
The 4th International
Workshop on Health
Recommender Systems
Organizers:
David Elsweiler,
Bernd Ludwig,
Alan Said,
Hanna Schäfer,
Helma Torkamaan,
Christoph Trattner
20th September 2019
Copenhagen, Denmark
Copyright c 2019 for the individual papers by the papers’ authors.
Copyright c 2019 for the volume as a collection by its editors.
This volume and its papers are published under the Creative Commons License Attribution 4.0
International (CC BY 4.0).
HealthRecSys19, September 20, 2019, Copenhagen, Denmark
Preface
Digital health has provided more access to affordable health care, self-care, and quantified self.
Individuals and clinicians, as a result, are faced with a vast amount of health data and limited
time for decision making. Recommender systems can improve digital health by supporting experts
and individuals to lower the burden of choice overload and further to automate various processes
in the health domain. The Health Recommender Systems (HRS) workshop is discussing multiple
fields in which recommender systems can improve well-being, health, and self-awareness. The
use of recommender systems in the health domain gives a new perspective to current discussions
and challenges of recommender systems including how to involve users in the recommendation
process, as well as the need to account for crucial aspects of trust and privacy.
Following the three previous workshops in 2016, 2017, and 2018, the focus of this work-
shop is to intensify the discussion on health promotion, health care, as well as health-related
methods. This workshop also aims at strengthening the HealthRecSys community, at engaging
representatives of other health domains into cross-domain collaborations, and at exchanging and
sharing infrastructure. This volume contains the papers presented at the fourth international
workshop on health recommender systems on September 20, 2019, held as part of the 13th ACM
Conference on Recommender Systems in Copenhagen, Denmark. After a peer-review process
with at least three reviewers per paper, six papers with the highest quality were accepted for
presentation in the workshop. The topics of the 2019 submissions covered a variety of goals,
data types, algorithms, and sub-domains of health. The most common goals of the health-
recommenders presented are Motivation, Adherence, Persistence, Personalization, Behavioural
Change, Interpretability, and Sustainability. As in previous years, there is a strong emphasis on
lifestyle recommendations such as Food and Recipe Recommendation, Exercise Recommendation,
and mental health. The HRS chairs would like to thank the RecSys 2019 organizing committee,
especially the RecSys workshop chairs for their support. We would also like to thank the authors,
presenters, and PC members, whose efforts made the workshop possible.
September, 2019 David Elsweiler
Bernd Ludwig
Alan Said
Hanna Schäfer
Helma Torkamaan
Christoph Trattner
iv
HealthRecSys19, September 20, 2019, Copenhagen, Denmark
Organizing Committee
David Elsweiler University of Regensburg
Bernd Ludwig University of Regensburg
Alan Said University of Gothenburg
Hanna Schäfer University of Konstanz
Helma Torkamaan University of Duisburg-Essen
Christoph Trattner University of Bergen
Program Committee
Shlomo Berkovsky CSIRO
Andre Calero Valdez RWTH Aachen University
Mehdi Elahi Free University of Bozen
Luis Fernandez Luque Qatar Computing Research Institute
Allan Hanbury Vienna University of Technology
Morgan Harvey Northumbria University
Eelco Herder Radboud University
Santiago Hors-Fraile University of Seville
Emre Kiciman Microsoft
Yelena Mejova ISI Foundation
Yashar Moshfeghi University of Strathclyde
Francesco Ricci Free University of Bozen-Bolzano
Markus Rokicki L3S Research Center
Ingmar Weber Qatar Computing Research Institute
Martin Wiesner Heilbronn University
Longqi Yang Cornell University
v
HealthRecSys19, September 20, 2019, Copenhagen, Denmark
Table of Contents
Keynote Abstract: inspire healthy habits for real life. For people, families, communities,
the world—for everyone. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Carl Anderson
Utilizing Collaborative Filtering to Recommend Opportunities for Positive Affect in daily
life . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
Panote Siriaraya, Kenta Suzuki and Shinsuke Nakajima
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling
Based Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
Mansura A. Khan, Ellen Rushe, Barry Smyth and David Coyle
Rethinking hearing aids as recommender systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Alessandro Pasta, Michael Kai Petersen, Kasper Juul Jensen and Jakob Eg Larsen
Evolutionary approach for ’healthy bundle’ wellbeing recommendations . . . . . . . . . . . . . . . . . . 18
Hugo Alcaraz-Herrera and Iván Palomares
An Evaluation of Recommendation Algorithms for Online Recipe Portals . . . . . . . . . . . . . . . . . 24
Christoph Trattner and David Elsweiler
RecSys Challenges in achieving sustainable eating habits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Alain Starke
vi