Group Recommender Systems

Authors: 
Amra Delic
Judith Masthoff
Type: 
Speech with proceedings
Proceedings: 
UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
Publisher: 
Pages: 
1 - 2
Year: 
2018
ISBN: 
ISBN: 978-1-4503-5589-6
Abstract: 
Recommender systems for groups are becoming increasingly popular since many information needs originate from group and social activities, such as listening to music, watching movies, traveling, etc. There has been substantial progress on systems which recommend items to groups of users. However, many challenges remain. The goal of this tutorial is to introduce group recommendation and group modeling to the UMAP audience. First we will introduce the problem of making recommendations to groups and adapting to groups, and give an overview of the state-of-the art approaches to group recommendation. Next, we will also analyze more challenging topics, such as including different behavioral aspects into group modeling, and evaluation of group recommendations. Throughout, hands-on activities will be included. The tutorial will conclude with a summary of challenges and open issues.
TU Focus: 
Information and Communication Technology
Reference: 

A. Delic, J. Masthoff:
"Group Recommender Systems";
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", (2018), ISBN: 978-1-4503-5589-6; S. 1 - 2.

Zusätzliche Informationen

Last changed: 
24.07.2018 13:54:19
Accepted: 
Accepted
TU Id: 
270881
Invited: 
Department Focus: 
Business Informatics
Author List: 
A. Delic, J. Masthoff
Abstract German: