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11#
發(fā)表于 2025-3-23 11:11:32 | 只看該作者
Further Choice Scenariosrios exist that differ in the way alternatives are represented and recommendations are determined. We introduce a categorization of these scenarios and discuss knowledge representation and group recommendation aspects on the basis of examples.
12#
發(fā)表于 2025-3-23 14:27:54 | 只看該作者
13#
發(fā)表于 2025-3-23 18:40:20 | 只看該作者
ConclusionsIn this chapter, we shortly summarize the contributions provided in this book.
14#
發(fā)表于 2025-3-24 00:04:31 | 只看該作者
Perspectives in Electronic Structure Theoryems that determine recommendations for groups. In this chapter, we provide an introduction to basic types of recommendation algorithms for individual users and characterize related decision tasks. This introduction serves as a basis for the introduction of group recommendation algorithms in Chap. ..
15#
發(fā)表于 2025-3-24 06:07:13 | 只看該作者
Decision Tasks and Basic Algorithmsems that determine recommendations for groups. In this chapter, we provide an introduction to basic types of recommendation algorithms for individual users and characterize related decision tasks. This introduction serves as a basis for the introduction of group recommendation algorithms in Chap. ..
16#
發(fā)表于 2025-3-24 10:08:17 | 只看該作者
17#
發(fā)表于 2025-3-24 12:15:14 | 只看該作者
18#
發(fā)表于 2025-3-24 16:34:08 | 只看該作者
Biases in Group Decisionsexist in both single user and group decision making (decoy effects, serial position effects, framing, and anchoring) and (2) biases that especially occur in the context of group decision making (GroupThink, polarization, and emotional contagion).
19#
發(fā)表于 2025-3-24 21:28:35 | 只看該作者
Personality, Emotions, and Group Dynamicsgroup members. In this chapter, we show how to take into account the aspects of ., ., and . when determining item predictions for groups. We summarize research related to the integration of these aspects into recommender systems and provide some selected examples.
20#
發(fā)表于 2025-3-24 23:28:42 | 只看該作者
Consumers, Service Users or Citizens?,exist in both single user and group decision making (decoy effects, serial position effects, framing, and anchoring) and (2) biases that especially occur in the context of group decision making (GroupThink, polarization, and emotional contagion).
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