How to Use Social Relationships in Group Recommenders: Empirical Evidence

Authors: 
Amra Delic
Judith Masthoff
Julia Neidhardt
Hannes Werthner
Type: 
Speech with proceedings
Proceedings: 
UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
Publisher: 
ACM New York
Pages: 
121 - 129
Year: 
2018
ISBN: 
ISBN: 978-1-4503-5589-6
Abstract: 
In this paper we present the results of a user study focusing on social relationships within small groups. The goal is to better understand how to incorporate the information about social relationships in group recommendation models. Our analysis, conducted on a data set of 150 participants in 41 groups deciding on a travel destination to visit together, brings out some intriguing outcomes. We demonstrate that social centrality is hardly an indicator of the social influence in the decision-making process of "equality matching" types of groups. However, socially central group members and socially close groups are significantly happier with group decisions than those who are loosely related. Moreover, in this paper we show that social relationships are indicators of other concepts relevant in group settings, therefore in group recommender systems as well.
TU Focus: 
Information and Communication Technology
Reference: 

A. Delic, J. Masthoff, J. Neidhardt, H. Werthner:
"How to Use Social Relationships in Group Recommenders: Empirical Evidence";
Vortrag: UMAP 2018: 26th Conference on User Modeling, Adaptation and Personalization, Singapore; 08.07.2018 - 11.07.2018; in: "UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization", ACM New York, (2018), ISBN: 978-1-4503-5589-6; S. 121 - 129.

Zusätzliche Informationen

Last changed: 
07.12.2018 11:16:04
Accepted: 
Accepted
TU Id: 
270878
Invited: 
Department Focus: 
Business Informatics
Author List: 
A. Delic, J. Masthoff, J. Neidhardt, H. Werthner
Abstract German: