Supporting Informed Negotiation Processes in Group Recommender Systems

Abstract: Group recommender systems make suggestions to groups of users who want to share experiences or products. Despite their high potential for helping users, GRS face diverse challenges that can be clustered into two groups: predictions and processes. Generating predictions of the goodness of the fit of recommendations to the group has been seen as a core challenge of recommender systems from their beginning, while supporting the processes of discussion for reaching consensus on the item to pick is a more recent challenge. In this paper I report on a base platform for GRS with powerful algorithms for generating and explaining recommendations with high predictions, and an easy and effective process model for GRS.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Supporting Informed Negotiation Processes in Group Recommender Systems ; volume:14 ; number:1 ; year:2015 ; pages:53-61 ; extent:10 ; i-com ; 14, Heft 1 (2015), 53-61 (gesamt 10)

Contributors, Places and Time

• Creator: Gross, Tom

Further information

• DOI: 10.1515/icom-2015-0008
• URN: urn:nbn:de:101:1-2023032814265304436449
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 11:02 AM CEST