|
|
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).
|
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
(1) University of Gothenburg, Sweden
(2) University of Konstanz, Germany
(3) University of Duisburg-Essen, Germany
(4) University of Bergen, Norway
Table of Contents
Invited Talk
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|