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Group recommender systems = an introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Group recommender systems/ edited by Alexander Felfernig ... [et al.].
其他題名:	an introduction /
其他作者:	Felfernig, Alexander.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xi, 181 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Recommender systems (Information filtering) -
電子資源:	https://doi.org/10.1007/978-3-031-44943-7
ISBN:	9783031449437

Group recommender systems = an 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

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

1002434
Recommender systems (Information filtering)

LC Class. No.: QA76.9.I58

Dewey Class. No.: 005.56

Group recommender systems = an introduction /
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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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