Home » Fairness and Diversity in Social-Based Recommender Systems

Fairness and Diversity in Social-Based Recommender Systems

Authors: 
Dimitrios Sacharidis
Carine Pierrette Mukamakuza
Hannes Werthner
Type: 
Speech with proceedings
Proceedings: 
UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Publisher: 
Association for Computing Machinery, New York, NY, USA
Pages: 
83 - 88
ISBN: 
ISBN: 978-1-4503-6861-2
Year: 
2020
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

D. Sacharidis, C. Mukamakuza, H. Werthner:
"Fairness and Diversity in Social-Based Recommender Systems";
Vortrag: UMAP'20: 28th ACM Conference on User Modeling, Adaptation and Personalization, Genoa, Italy; 12.07.2020 - 18.07.2020; in: "UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization", Association for Computing Machinery, New York, NY, USA, (2020), ISBN: 978-1-4503-6861-2; S. 83 - 88.

PDF Link: 
Last changed: 
09.01.2021 07:05:20
TU Id: 
294119
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=294119&lang=1
Abstract German: 
Author List: 
D. Sacharidis, C. Mukamakuza, H. Werthner