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https://ceur-ws.org/Vol-2216/preface.pdf
Co-located with Twelfth ACM Conference on Recommender Systems
Third International
Workshop on Health
Recommender Systems
Organizers:
David Elsweiler,
Bernd Ludwig,
Alan Said,
Hanna Schäfer,
Helma Torkamaan,
Christoph Trattner
October 06, 2018
Vancouver, BC, Canada
c 2018. Copyright for the individual papers remains with the authors. Copying permitted for
private and academic purposes. This volume is published and copyrighted by its editors.
HealthRecSys’18, October 6, 2018, , Vancouver, BC, Canada
Preface
Information systems are becoming evermore intertwined with other systems and approaches
developed with to keep us healthy and increasing our general wellbeing. In the two previous
workshops on Health Recommender Systems (HRS), we identified and discussed a great variety
of fields in which recommender systems can improve our awareness, understanding and behavior
regarding our own, and the general public’s health. At the same time, these application areas
bring new challenges into the recommender community. For example, recommendations that
influence the health status of a patient need to be legally sound and today, they often involve a
human in the loop to ensure the recommendations are appropriate. The variety of the challenges
in HRS also results from the number and diversity of stakeholders involved in health systems.
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. Finally, health care providers, insurance providers, and clinics are
interested in other aspects such as success rates, study results, and financial benefits of the new
systems. This workshop goes deeper into the discussions started at the two prior workshops
and works towards further development of the research topics in Health Recommender Systems.
Following the two previous workshops in 2016 and 2017, the focus of this workshop is to intensify
the discussion on health promotion, health care, as well as health related methods. This
workshop also aims to strengthen the HealthRecSys community, to engage representatives of
other health domains into cross-domain collaborations, and to exchange and share infrastructure.
This volume contains the papers presented at the third international workshop on health
recommender system on October 06, 2018, held as part of the 12th ACM Conference on
Recommender Systems in Vancouver, Canada. Eleven technical papers were selected through
a rigorous reviewing process by which three PC members reviewed each submission. The
papers cover topics on recommendation impact and credibility, healthy lifestyle, e-coaching,
virtual coaches, knowledge based models, just in time recommendations, user modeling, user
interaction, user experience, personalized persuasion, motivation, food recommendation, fitness
recommendation, e-commerce, healthy shopping habits, multi-criteria recommender systems,
multi-objective optimization, symptoms monitoring, and medical interventions. The HRS chairs
would like to thank RecSys 2018 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.
October, 2018 David Elsweiler
Bernd Ludwig
Alan Said
Hanna Schäfer
Helma Torkamaan
Christoph Trattner
iv
HealthRecSys’18, October 6, 2018, , Vancouver, BC, Canada
Organizing Committee
David Elsweiler University of Regensburg
Bernd Ludwig University of Regensburg
Alan Said University of Skövde
Hanna Schäfer Technical University of Munich
Helma Torkamaan University of Duisburg-Essen
Christoph Trattner University of Bergen
Program Committee
Martijn Willemsen Eindhoven University of Technology
Michael Ekstrand Boise State University
Reza Rawassizadeh University of Rochester
Andre Calero Valdez RWTH Aachen University
Mehdi Elahi Free University of Bozen - Bolzano
Alexander Felfernig Graz University of Technology
Georg Groh Technical University of Munich
Morgan Harvey Northumbria University
Santiago Hors-Fraile University of Seville
Kjetil Nørvåg Norwegian University of Science and Technology
Markus Rokicki L3S Research Center
Ingmar Weber Qatar Computing Research Institute
Aysegül Dogangün University of Duisburg-Essen
Robert West Ecole Polytechnique Fédérale de Lausanne
Martin Wiesner Heilbronn University
Longqi Yang Cornell University
v
HealthRecSys’18, October 6, 2018, , Vancouver, BC, Canada
Table of Contents
Keynote Abstract: The Challenges and Opportunities for Healthcare Recommendation
Systems in a Rapidly Evolving Health Data Ecosystem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Mohammad M. Ghassemi
Healthy Menus Recommendation: Optimizing the Use of the Pantry . . . . . . . . . . . . . . . . . . . . . . 2
Jefferson Emanuel Caldeira Da Silva, Ricardo Santos de Oliveira, Leandro Balby
Marinho and Christoph Trattner
Predicting Workout Quality to Help Coaches Support Sportspeople . . . . . . . . . . . . . . . . . . . . . . . 8
Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas and Paolo Pilloni
Personalized symptom checker using medical claims . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Sabin Kafle, Penny Pan, Ali Torkamani, Stevi Halley, John Powers and Hakan Kardes
Multi-Criteria Rating-Based Preference Elicitation in Health Recommender Systems . . . . . . 18
Helma Torkamaan and Jürgen Ziegler
Nutrilize a Personalized Nutrition Recommender System: an enable study . . . . . . . . . . . . . . . . 24
Nadja Leipold, Mira Madenach, Hanna Schäfer, Martin Lurz, Nada Terzimehic, Georg
Groh, Markus Böhm, Kurt Gedrich and Helmut Krcmar
What Drives the Perceived Credibility of Health Apps: Classical or Expressive Aesthetics? 30
Kiemute Oyibo, Ifeoma Adaji and Julita Vassileva
Shopping Value and its Influence on Healthy Shopping Habits in E-Commerce . . . . . . . . . . . 36
Ifeoma Adaji, Kiemute Oyibo and Julita Vassileva
’Fitness that Fits’: A prototype model for Workout Video Recommendation . . . . . . . . . . . . . . 40
Ercan Ezin, Eunchong Kim and Ivan Palomares
Exploring eating behaviours modelling for user clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Sema Akkoyunlu, Cristina Manfredotti, Antoine Cornuéjols, Nicolas Darcel and Fabien
Delaere
Engagement scoring for Care-gap Intervention Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Mohamad Ali Torkamani, Malhar Jhaveri, Jynelle Mellen, Michael Brown-Hayes,
James Chung, Bei Pan and Hakan Kardes
A Hybrid Health Journey Recommender System using Electronic Medical Records . . . . . . . . 57
Soheil Jamshidi, Ali Torkamani, Jynelle Mellen, Malhar Jhaveri, Penny Pan, James
Chung and Hakan Kardes
vi