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This book discusses different aspects of group recommender systems, which are systems that help to identify recommendations for groups instead of single users. In this context, the authors present different related techniques and applications. The book includes in-depth summaries of group recommendation algorithms, related industrial applications, different aspects of preference construction and explanations, user interface aspects of group recommender systems, and related psychological aspects that play a crucial role in group decision scenarios.
Inhaltsverzeichnis
Introduction. - Group Recommendation Techniques. - Decision Tasks and Basic Algorithms. - Algorithms for Group Recommendation. - Evaluating Group Recommender Systems. - Part 2. Group Recommender User Interfaces. - Group Recommender Applications. - Handling Preferences. - Explanations for Groups. - Part 3. Group Decision Processes. - Further Choice Scenarios. - Biases in Group Decisions. - Personality, Emotions, and Group Dynamics. - Conclusions.
Group recommender systems: an introduction serves as an essential reference for both researchers and practitioners in the field. It combines technical details with practical applications and psychological insights, making it a well-rounded resource for anyone interested in the development and implementation of group recommender systems. It offers a rich, multi-dimensional exploration of its subject matter, and promises to be a key resource for anyone interested in the development and application of recommender systems, especially those focused on group settings. (Wael Badawy, Computing Reviews, December 29, 2024)
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