Talks and Poster Presentations (with Proceedings-Entry):
A. Delic, J. Neidhardt, T. Nguyen, F. Ricci, L. Rook, H. Werthner, M. Zanker:
"Observing Group Decision Making Processes";
Talk: 10th ACM Conference on Recommender Systems,
Boston, MA, USA;
09-15-2016
- 09-19-2016; in: "Proceedings of the 10th ACM Conference on Recommender systems",
ACM,
(2016),
ISBN: 978-1-4503-4035-9;
147
- 150.
English abstract:
Most research on group recommender systems relies on the assumption that individuals have conflicting preferences; in order to generate group recommendations the system should identify a fair way of aggregating these preferences. Both empirical studies and theoretical frameworks have tried to identify the most effective preference aggregation techniques without coming to definite conclusions. In this paper, we propose to approach group recommendation from the group dynamics perspective and analyze the group decision making process for a particular task (in the travel domain). We observe several individual and group properties and correlate them to choice satisfaction. Supported by these initial results we therefore advocate for the development of new group recommendation techniques that consider group dynamics and support the full group decision making process.
German abstract:
Most research on group recommender systems relies on the assumption that individuals have conflicting preferences; in order to generate group recommendations the system should identify a fair way of aggregating these preferences. Both empirical studies and theoretical frameworks have tried to identify the most effective preference aggregation techniques without coming to definite conclusions. In this paper, we propose to approach group recommendation from the group dynamics perspective and analyze the group decision making process for a particular task (in the travel domain). We observe several individual and group properties and correlate them to choice satisfaction. Supported by these initial results we therefore advocate for the development of new group recommendation techniques that consider group dynamics and support the full group decision making process.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/2959100.2959168
Electronic version of the publication:
http://dl.acm.org/citation.cfm?id=2959168
Created from the Publication Database of the Vienna University of Technology.