Group Recommender Systems

This book PDF is perfect for those who love Technology & Engineering genre, written by Alexander Felfernig and published by Springer Nature which was released on 27 November 2023 with total hardcover pages 180. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Group Recommender Systems books below.

Group Recommender Systems

Author	: Alexander Felfernig
File Size	: 46,7 Mb
Publisher	: Springer Nature
Language	: English
Release Date	: 27 November 2023
ISBN	: 9783031449437
Pages	: 180 pages

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Group Recommender Systems by Alexander Felfernig Book PDF Summary

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.

Group Recommender Systems by Alexander Felfernig,Ludovico Boratto,Martin Stettinger,Marko Tkalčič

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The Adaptive Web by Peter Brusilovski,Alfred Kobsa,Wolfgang Nejdl

This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters that map out the most important areas of the adaptive

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ECSCW 2001 by Wolfgang Prinz,Matthias Jarke,Yvonne Rogers,K. Schmidt,Volker Wulf

Schmidt and Bannon (1992) introduced the concept of common information space by contrasting it with technical conceptions of shared information: Cooperative work is not facilitated simply by the provisioning of a shared database, but rather requires the active construction by the participants of a common information space where the meanings of

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Group Recommender Systems by Alexander Felfernig,Ludovico Boratto,Martin Stettinger,Marko Tkalčič

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

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Recommender Systems Advanced Developments by Jie Lu,Qian Zhang,Guang-quan Zhang

Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more.This

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Recommender Systems by Charu C. Aggarwal

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both

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Recommender Systems Handbook by Francesco Ricci,Lior Rokach,Bracha Shapira

This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new

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Practical Recommender Systems by Kim Falk

Summary Online recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application! Purchase of the print book includes

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