Group Recommender Systems
An Introduction
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Beschreibung
This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include an in-depth discussion of state-of-the-art algorithms, an overview of industrial applications, an inclusion of the aspects of decision biases in groups, and corresponding de-biasing approaches. The book includes a discussion of basic group recommendation methods, aspects of human decision making in groups, and related applications. A discussion of open research issues is included to inspire new related research. The book serves as a reference for researchers and practitioners working on group recommendation related topics.
Introduces the topic of group recommendation, presents an overview of existing industrial applications, and posits issues for future work Includes an in-depth overview of algorithms and techniques in group recommendation scenarios Includes a discussion of the role of human decision making strategies in the context of group decision making
Autor*in
Alexander Felfernig
Themen in »Group Recommender Systems«
State-Of-The-Art Algorithms Industrial Applications of Group Recommendation Corresponding De-Biasing Approaches Group Recommendation Methods Decision Making Group recommendation algorithm
Stimmen zu »Group Recommender Systems«
“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 2, 2024)
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