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.
Explore Group Recommender Systems by Alexander Felfernig, Ludovico Boratto, Martin Stettinger & Marko Tkalčič on eBooksStore by Arnlweb. Discover book details, reader ratings, reviews, release information, genres, and related digital books available through the iTunes Store.
This book is part of our growing collection of bestselling eBooks, popular digital reading materials, and trending author releases. Readers can explore similar books, discover new authors, and browse related genres including fiction, romance, mystery, fantasy, business, self-help, educational books, and more.
Our platform helps readers discover highly rated digital books optimized for smartphones, tablets, laptops, and desktop devices. Browse fast-loading book pages, reader reviews, and popular recommendations from bestselling authors worldwide.