Beyond Item Recommendation: Using Recommendations to Stimulate Knowledge Sharing in Group Decisions

  • Müslüm Atas
  • Alexander Felfernig
  • Martin Stettinger
  • Thi Ngoc Trang Tran
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10540)

Abstract

The intensity of domain knowledge exchange among group members is an important factor that directly influences group decision quality. The more frequent information is exchanged among group members, the higher the quality of the corresponding decision. In this paper we present results of an empirical study conducted with groups of students – the task of each group was to take a decision regarding the exam topics the group prefers. This group decision had to be taken on the basis of a group decision support environment with included recommendation functionality and a discussion forum that allows for information exchange among group members. Depending on the included variant of the group recommendation algorithm, groups received recommendations that varied in terms of recommendation diversity. The results of the study show that increased recommendation diversity leads to an increased degree of information exchange among group members.

Keywords

Group recommender systems Group decision making Decision quality Information exchange 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Müslüm Atas
    • 1
  • Alexander Felfernig
    • 1
  • Martin Stettinger
    • 1
  • Thi Ngoc Trang Tran
    • 1
  1. 1.Institute of Software TechnologyGraz University of TechnologyGrazAustria

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