Group Recommender Systems

An Introduction

  • Alexander Felfernig
  • Ludovico Boratto
  • Martin Stettinger
  • Marko Tkalčič

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Group Recommendation Techniques

    1. Front Matter
      Pages 1-1
    2. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 3-26
    3. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 27-58
    4. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 59-71
  3. Group Recommender User Interfaces

    1. Front Matter
      Pages 73-73
    2. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 75-89
    3. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 91-103
    4. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 105-126
  4. Group Decision Processes

    1. Front Matter
      Pages 127-127
    2. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 129-144
    3. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 145-155
    4. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 157-167
    5. Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič
      Pages 169-170
  5. Back Matter
    Pages 171-173

About this book

Introduction

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.

Keywords

State-Of-The-Art Algorithms Industrial Applications of Group Recommendation Corresponding De-Biasing Approaches Group Recommendation Methods Decision Making Group recommendation algorithm

Authors and affiliations

  • Alexander Felfernig
    • 1
  • Ludovico Boratto
    • 2
  • Martin Stettinger
    • 3
  • Marko Tkalčič
    • 4
  1. 1.Institute for Software TechnologyGraz University of TechnologyGrazAustria
  2. 2.EURECATCentre Tecnológico de CatalunyaBarcelonaSpain
  3. 3.Institute for Software TechnologyGraz University of TechnologyGrazAustria
  4. 4.Faculty of Computer ScienceFree University of Bozen-BolzanoBolzanoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-75067-5
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-75066-8
  • Online ISBN 978-3-319-75067-5
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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