Vol-2684
urn:nbn:de:0074-2684-4

Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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).

HealthRecSys 2020
Health Recommender Systems 2020

Proceedings of the 5th International Workshop on Health Recommender Systems
co-located with the 14th ACM Conference on Recommender Systems 2020 (RecSys 2020)

Online, Worldwide, September 26, 2020.

Edited by

Alan Said (1)
Hanna Schäfer (2)
Helma Torkamaan (3)
Christoph Trattner (4)

(1) University of Gothenburg, Sweden
(2) University of Konstanz, Germany
(3) University of Duisburg-Essen, Germany
(4) University of Bergen, Norway

Table of Contents

Preface

Invited Talk

Keynote Abstract: Health Personalisation: From Wellbeing to Medicine 1
Shlomo Berkovsky

Papers

On the Importance of Context: Privacy Perceptions ofPersonal vs. Health Data in Health Recommender Systems 2-7
Laura Burbach, Poornima Belavadi, Patrick Halbach, Nils Plettenberg, Johannes Nakayama, Lilian Kojan, André Calero Valdez
Personalized User Modelling for Context-Aware Lifestyle Recommendations to Improve Sleep 8-14
Vaibhav Pandey, Dhruv Deepak Upadhyay, Nitish Nag, Ramesh Jain
A Recommender System for Healthy and Personalized Recipes Recommendations 15-20
Florian Pecune, Lucile Callebert, Stacy Marsella
A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19 21-22
Yogatheesan Varatharajah, Haotian Chen, Andrew Trotter, Ravishankar Iyer
A Recommender System for Informal Bibliotherapy 23-27
Jatin Aswal, Nisheeth Srivastava
Recommeding Safe Actions by Learning from Sub-optimal Demonstrations 28-35
Lars Boecking, Patrick Philipp

Download the HealthRecSys 2020 proceedings separate files, all in a zip (5 Mb).

2020-09-13: submitted by Helma Torkamaan, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-26: published on CEUR-WS.org |valid HTML5|