Loepp, Benedikt; Ziegler, Jürgen:
Measuring the impact of recommender systems : A position paper on item consumption in user studies
In: Impact of Recommender Systems 2019 : Proceedings of the 1st Workshop on the Impact of Recommender Systems / Sar Shalom, Oren; Jannach, Dietmar; Guy, Ido (Hrsg.). - 1st Workshop on the Impact of Recommender Systems 2019 (ImpactRS 2019), 19September 2019, Copenhagen, Denmark - Aachen: RWTH Aachen, 2019 - (CEUR Workshop Proceedings ; 2462)
2019Buchaufsatz/Kapitel in TagungsbandOA Gold
InformatikFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Interaktive Systeme / Interaktionsdesign
Titel in Englisch:
Measuring the impact of recommender systems : A position paper on item consumption in user studies
Autor*in:
Loepp, BenediktUDE
GND
1232038113
LSF ID
54109
ORCID
0000-0001-9059-5324ORCID iD
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:
Experimentation ; Recommender systems ; User studies

Abstract in Englisch:

While participants of recommender systems user studies usually cannot experience recommended items, it is common practice that researchers ask them to fill in questionnaires regarding the quality of systems and recommendations. While this has been shown to work well under certain circumstances, it sometimes seems not possible to assess user experience without enabling users to consume items, raising the question of whether the impact of recommender systems has always been measured adequately in past user studies. In this position paper, we aim at exploring this question by means of a literature review and at identifying aspects that need to be further investigated in terms of their influence on assessments in users studies, for instance, the difference between consumption of products or only of related information as well as the effect of domain, domain knowledge and other possibly confounding factors.