Elahi, Mehdi; Abdollahpouri, Himan; Mansoury, Masoud; Torkamaan, Helma:
Beyond Algorithmic Fairness in Recommender Systems
In: UMAP '21 : Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization / Masthoff, Judith; Herder, Eelco; Tintarev, Nava; Tkalčič, Marko (Hrsg.). - UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization, June 21 - 25, 2021, Utrecht - New York: Association for Computing Machinery, 2021, S. 41 - 46
2021Abstract in TagungsbandClosed access
InformatikFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Interaktive Systeme / Interaktionsdesign
Titel in Englisch:
Beyond Algorithmic Fairness in Recommender Systems
Autor*in:
Elahi, Mehdi
;Abdollahpouri, Himan
;Mansoury, Masoud
;Torkamaan, HelmaUDE
GND
1259555046
LSF ID
58176
Sonstiges
der Hochschule zugeordnete*r Autor*in
Open Access?:
Closed access
DOI
10.1145/3450614.3461685
Scopus ID
85107918389
Sprache des Textes:
Englisch
Erschienen in
UMAP '21 : Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
Konferenz
UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization, June 21 - 25, 2021, Utrecht
Herausgeber*in:
Masthoff, Judith;Herder, Eelco;Tintarev, Nava;Tkalčič, Marko
Erscheinungsort:
New York
Verlag:
Association for Computing Machinery
Erscheinungsjahr:
2021
in:
S. 41 - 46
DOI
10.1145/3450614
ISBN
978-1-4503-8367-7
Schlagwort, Thema:
evaluation ; fairness ; recommender systems