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Social Information Access

Systems and Technologies

  • Peter Brusilovsky
  • Daqing He

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10100)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10100)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Peter Brusilovsky, Daqing He
    Pages 1-18
  3. Bart P. Knijnenburg
    Pages 19-74
  4. Sanghee Oh
    Pages 75-107
  5. Zhen Yue, Daqing He
    Pages 108-141
  6. Rosta Farzan, Peter Brusilovsky
    Pages 142-180
  7. Dimitar Dimitrov, Denis Helic, Markus Strohmaier
    Pages 181-212
  8. Peter Brusilovsky, Barry Smyth, Bracha Shapira
    Pages 213-276
  9. Shuguang Han, Daqing He
    Pages 277-309
  10. Beate Navarro Bullock, Andreas Hotho, Gerd Stumme
    Pages 310-343
  11. Daniel Kluver, Michael D. Ekstrand, Joseph A. Konstan
    Pages 344-390
  12. Danielle Lee, Peter Brusilovsky
    Pages 391-440
  13. Toine Bogers
    Pages 441-479
  14. Michael P. O’Mahony, Barry Smyth
    Pages 480-509
  15. Dietmar Jannach, Lukas Lerche, Markus Zanker
    Pages 510-569
  16. Cécile Bothorel, Neal Lathia, Romain Picot-Clemente, Anastasios Noulas
    Pages 624-653
  17. Back Matter
    Pages 655-655

About this book

Introduction

Social information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web.

The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information.

 

Keywords

collaborative filtering data privacy data security information retrieval information services internet online searching recommender systems search engines signal filtering and prediction signal processing social networking social networks social web web 2.0 web searches world wide web

Editors and affiliations

  • Peter Brusilovsky
    • 1
  • Daqing He
    • 2
  1. 1.University of PittsburghPittsburghUSA
  2. 2.University of PittsburghPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-90092-6
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-90091-9
  • Online ISBN 978-3-319-90092-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site