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Group Recommender Systems: An Introduction [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Felfernig, Alexander, Boratto, Ludovico, Stettinger, Martin, Tkali, Marko
  • Author:  Felfernig, Alexander, Boratto, Ludovico, Stettinger, Martin, Tkali, Marko
  • ISBN-10:  3319750666
  • ISBN-10:  3319750666
  • ISBN-13:  9783319750668
  • ISBN-13:  9783319750668
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2018
  • Pub Date:  01-Feb-2018
  • SKU:  3319750666-11-SPRI
  • SKU:  3319750666-11-SPRI
  • Pages:  173
  • Pages:  173
  • Item ID: 101230201
  • List Price: $84.99
  • Seller: ShopSpell
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  • Delivery by: Oct 05 to Oct 07
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
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.Part 1. 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 2, 2024)

Alexander Felfernig?is a full professor at the Graz University of Technology (Austria) since March 2009 and received hisl3%