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Group recommender systemsan introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Group recommender systemsedited by Alexander Felfernig ... [et al.].
Reminder of title:	an introduction /
other author:	Felfernig, Alexander.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xi, 181 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Recommender systems (Information filtering)
Online resource:	https://doi.org/10.1007/978-3-031-44943-7
ISBN:	9783031449437$q(electronic bk.)

Group recommender systemsan introduction /
Group recommender systemsan introduction /[electronic resource] :edited by Alexander Felfernig ... [et al.]. - Second edition. - Cham :Springer Nature Switzerland :2024. - xi, 181 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

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.

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. Introduces the concepts of group recommender systems including a discussion of existing industrial applications; Provides an in-depth discussion of algorithms and techniques beyond existing basic group recommendation approaches; Includes a discussion of different aspects of human decision making, explanations, and related psychological models.

ISBN: 9783031449437$q(electronic bk.)

Standard No.: 10.1007/978-3-031-44943-7doiSubjects--Topical Terms:

310886
Recommender systems (Information filtering)

LC Class. No.: QA76.9.I58

Dewey Class. No.: 005.56

Group recommender systemsan introduction /
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300 $a xi, 181 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4870
505 0 $a 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.
520 $a 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. Introduces the concepts of group recommender systems including a discussion of existing industrial applications; Provides an in-depth discussion of algorithms and techniques beyond existing basic group recommendation approaches; Includes a discussion of different aspects of human decision making, explanations, and related psychological models.
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650 1 4 $a Communications Engineering, Networks. $3 273745
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650 2 4 $a Computational Intelligence. $3 338479
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