Co-located with Twelfth ACM Conference on Recommender Systems
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.
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 identi ed and discussed a great variety of elds 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 in uence 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 nancial bene ts 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, tness 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 e orts made the workshop possible.
Bernd Ludwig
Alan Said
Hanna Schafer Helma Torkamaan Christoph Trattner
Bernd Ludwig Alan Said Hanna Schafer Helma Torkamaan Christoph Trattner
Michael Ekstrand Reza Rawassizadeh Andre Calero Valdez Mehdi Elahi Alexander Felfernig Georg Groh Morgan Harvey Santiago Hors-Fraile Kjetil N rvag Markus Rokicki Ingmar Weber Aysegul Dogangun Robert West Martin Wiesner Longqi Yang
University of Regensburg University of Skovde Technical University of Munich University of Duisburg-Essen University of Bergen Keynote Abstract: The Challenges and Opportunities for Healthcare Recommendation Systems in a Rapidly Evolving Health Data Ecosystem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Mohammad M. Ghassemi Healthy Menus Recommendation: Optimizing the Use of the Pantry . . . . . . . . . . . . . . . . . . . . . .
Je erson Emanuel Caldeira Da Silva, Ricardo Santos de Oliveira, Leandro Balby Marinho and Christoph Trattner Predicting Workout Quality to Help Coaches Support Sportspeople . . . . . . . . . . . . . . . . . . . . . . .
Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas and Paolo Pilloni 1 2 8 What Drives the Perceived Credibility of Health Apps: Classical or Expressive Aesthetics? 30
Kiemute Oyibo, Ifeoma Adaji and Julita Vassileva Shopping Value and its In uence 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 Cornuejols, 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