Torkamaan, Helma; Ziegler, Jürgen:
Multi-criteria rating-based preference elicitation in health recommender systems
In: Health Recommender Systems : Proceedings of the 3rd International Workshop on Health Recommender Systems (HealthRecSys’18) / Elsweiler, David; Ludwig, Bernd; Said, Alan; Schäfer, Hanna; Torkamaan, Helma; Trattner, Christoph (Hrsg.). - 3rd International Workshop on Health Recommender Systems (HealthRecSys 2018), 6 October 2018, Vancouver, Canada - Aachen: RWTH Aachen, 2018 - (CEUR Workshop Proceedings ; 2216), S. 18 - 23
2018Buchaufsatz/Kapitel in TagungsbandOA Gold
InformatikFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Interaktive Systeme / Interaktionsdesign
Titel in Englisch:
Multi-criteria rating-based preference elicitation in health recommender systems
Autor*in:
Torkamaan, HelmaUDE
GND
1259555046
LSF ID
58176
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Ziegler, JürgenUDE
GND
1015876811
LSF ID
3881
ORCID
0000-0001-9603-5272ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
Open Access?:
OA Gold
Scopus ID
Notiz:
OA platinum
Sprache des Textes:
Englisch
Schlagwort, Thema:
Health promotion ; Health recommender systems ; Multi-criteria rating ; Recommender systems

Abstract in Englisch:

A multi-criteria rating looks for important dimensions to more extensively capture an individual’s opinion about a recommended item. Health Recommender Systems (HRS) is considered to be an emerging domain of recommender systems. In HRS, criteria for a multi-criteria preference elicitation of a recommendation have not yet been fully investigated to the best of our knowledge. In this paper, we investigate the criteria for the rating of a health promotion recommendation using an online survey. Drawing on both the relevant literature and the users’ responses, we came up with a list of 33 criteria that users are considering when they rate a health promotion recommendation. However, these criteria are not equally important to users. We discuss which of these criteria are more important in the users’ opinions. In short, our results show that users consistently consider effectiveness, emotional gain, and giving a good feeling as the most important criteria. Using the criteria derived from the literature, we came up with a model for the importance of the criteria which has three dimensions: effect, effort, and context. This study is the first step toward enhancing our understanding of HRS and the rating of a health promotion recommendation.