Beyond item recommendation: Using recommendations to stimulate knowledge sharing in group decisions

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.

Original languageEnglish
Title of host publicationSocial Informatics - 9th International Conference, SocInfo 2017, Proceedings
PublisherSpringer Verlag Wien
Pages368-377
Number of pages10
ISBN (Print)9783319672557
DOIs
Publication statusPublished - 2017
Event9th International Conference on Social Informatics, SocInfo 2017 - Oxford, United Kingdom
Duration: 13 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Social Informatics, SocInfo 2017
CountryUnited Kingdom
CityOxford
Period13/09/1715/09/17

    Fingerprint

Keywords

  • Decision quality
  • Group decision making
  • Group recommender systems
  • Information exchange

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Atas, M., Felfernig, A., Stettinger, M., & Tran, T. N. T. (2017). Beyond item recommendation: Using recommendations to stimulate knowledge sharing in group decisions. In Social Informatics - 9th International Conference, SocInfo 2017, Proceedings (pp. 368-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10540 LNCS). Springer Verlag Wien. https://doi.org/10.1007/978-3-319-67256-4_29