Observing group decision making processes

Amra Delic , Julia Neidhardt, Thuy-Ngoc Nguyen, Francesco Ricci, Laurens Rook, Hannes Werthner, Markus Zanker

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

32 Citations (Scopus)
105 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationProceedings of the 10th ACM conference on recommender systems
Publication statusPublished - 2016
Event10th ACM Conference on Recommender Systems, RecSys 2016 - MIT, Boston, MA, United States
Duration: 15 Sept 201619 Sept 2016


Conference10th ACM Conference on Recommender Systems, RecSys 2016
Country/TerritoryUnited States
CityBoston, MA
Internet address


  • Group recommender systems
  • User study
  • Preference aggregation
  • Group decision processes


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