Skip to main content
SpringerLink
Log in
Book cover

Recommender Systems for Social Tagging Systems

  • Book
  • © 2012

Overview

Authors:
  1. Leandro Balby Marinho

    1. , Systems and Computing Department, Federal University of Campina Grande, Campina Grande-PB, Brazil

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Andreas Hotho

    1. , Knowledge & Data Engineering Group, University of Kassel, Kassel, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Robert Jäschke

    1. , Knowledge & Data Engineering Group, University of Kassel, Kassel, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  4. Alexandros Nanopoulos

    1. , Information Systems, University of Hildesheim, Hildesheim, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  5. Steffen Rendle

    1. , Social Network Analysis, University of Konstanz, Konstanz, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  6. Lars Schmidt-Thieme

    1. , Information Systems, University of Hildesheim, Hildesheim, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  7. Gerd Stumme

    1. , Knowledge & Data Engineering Group, University of Kassel, Kassel, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  8. Panagiotis Symeonidis

    1. , Department of Informatics, Aristotle University, Thessaloniki, Greece

    View author publications

    You can also search for this author in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Foundations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Social Tagging Systems

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 3-15

    3. Recommender Systems

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 17-29

  3. Recommendation Techniques for Social Tagging Systems

    1. Front Matter

      Pages 31-31
      Download chapter PDF

    2. Baseline Techniques

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 33-42

    3. Advanced Techniques

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 43-74

    4. Offline Evaluation

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 75-80

  4. Implementing Recommender Systems for Social Tagging

    1. Front Matter

      Pages 81-81
      Download chapter PDF

    2. Real World Social Tagging Recommender Systems

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 83-95

    3. Online Evaluation

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 97-108

    4. Conclusions

      • Leandro Balby Marinho, Andreas Hotho, Robert Jäschke, Alexandros Nanopoulos, Steffen Rendle, Lars Schmidt-Thieme et al.
      Pages 109-111
Back to top

Keywords

About this book

Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.

Reviews

From the reviews:

“The book is a useful contribution towards harnessing crowd sourced descriptions by using recommender systems as it epitomises the long experience of the majority of the authors in social tagging systems … . the engaged researcher in the area will benefit from reading this book in that it provides a good orientation over state-of-the-art approaches and techniques for building recommender systems in order to harness the innate variety of crowd sourced annotations and tags.” (Cathal Gurrin, Informer, July, 2013)

Authors and Affiliations

  • , Systems and Computing Department, Federal University of Campina Grande, Campina Grande-PB, Brazil

    Leandro Balby Marinho

  • , Knowledge & Data Engineering Group, University of Kassel, Kassel, Germany

    Andreas Hotho, Robert Jäschke, Gerd Stumme

  • , Information Systems, University of Hildesheim, Hildesheim, Germany

    Alexandros Nanopoulos

  • , Social Network Analysis, University of Konstanz, Konstanz, Germany

    Steffen Rendle

  • , Information Systems, University of Hildesheim, Hildesheim, Germany

    Lars Schmidt-Thieme

  • , Department of Informatics, Aristotle University, Thessaloniki, Greece

    Panagiotis Symeonidis

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation