Abstract
Group Recommender Systems aim to support the identification of items that best fit individual preferences of group members. However, decision making behavior of group members can be affected by decision biases which can deteriorate group decision quality. In this paper, we analyze the existence of Group Polarization Effects in two different domains and present a way to counteract these effects. Group Polarization is the tendency of a group to make decisions that are more extreme than the average of individual group members' preferences. We analyze Group Polarization in the context of risk analysis and cost estimation. In risk related group decisions, we figured out that if individual group members tend to make cautious decisions, then the group decision will be more cautious. However, in decisions related to cost estimation, the group estimations are lower than the average of group members' estimations (i.e., cautious shift). Furthermore, our results show that individual group members with diverse preferences are not influenced by Group Polarization Effects. The diversity in preferences of individual group members helps to counteract Group Polarization Effects.
Original language | English |
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Title of host publication | UMAP 2018: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization |
Pages | 305-310 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2018 |
Event | 26th Conference on User Modeling, Adaptation and Personalization - Nanyang Technological University, Singapore Duration: 8 Jul 2018 → 11 Jul 2018 http://www.um.org/umap2018/ |
Conference
Conference | 26th Conference on User Modeling, Adaptation and Personalization |
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Abbreviated title | UMAP 2018 |
Country/Territory | Singapore |
Period | 8/07/18 → 11/07/18 |
Internet address |