Home » Analyzing the Impact of Social Connections on Rating Behavior in Social Recommender Systems

Analyzing the Impact of Social Connections on Rating Behavior in Social Recommender Systems

Authors: 
Carine Pierrette Mukamakuza
Type: 
Speech with proceedings
Proceedings: 
UMAP'17- Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
Publisher: 
ACM
Pages: 
322 - 326
ISBN: 
ISBN: 978-1-4503-4635-1
Year: 
2017
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

C. Mukamakuza:
"Analyzing the Impact of Social Connections on Rating Behavior in Social Recommender Systems";
Vortrag: UMAP'17 - 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia; 09.07.2017 - 12.07.2017; in: "UMAP'17- Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization", ACM, New York (2017), ISBN: 978-1-4503-4635-1; S. 322 - 326.

PDF Link: 
Last changed: 
21.12.2017 11:43:21
TU Id: 
265052
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=265052&lang=1
Abstract German: 
Author List: 
C. Mukamakuza