Recommender Systems for the Social Web

  • José J. Pazos Arias
  • Ana Fernández Vilas
  • Rebeca P. Díaz Redondo

Part of the Intelligent Systems Reference Library book series (ISRL, volume 32)

Table of contents

  1. Front Matter
    Pages 1-17
  2. General Aspects

    1. Front Matter
      Pages 1-1
    2. Georg Groh, Stefan Birnkammerer, Valeria Köllhofer
      Pages 3-42
  3. Interoperability for Recommendation

    1. Front Matter
      Pages 63-63
    2. Robert Jäschke, Andreas Hotho, Folke Mitzlaff, Gerd Stumme
      Pages 65-87
    3. Marcos Martínez-Romero, José M. Vázquez-Naya, Javier Pereira, Alejandro Pazos
      Pages 89-103
  4. Trust & Recommendation

    1. Front Matter
      Pages 105-105
    2. Manuela I. Martín-Vicente, Alberto Gil-Solla, Manuel Ramos-Cabrer
      Pages 107-119
  5. Group Recommendation

    1. Front Matter
      Pages 137-137
    2. Iván Cantador, Pablo Castells
      Pages 139-157
  6. Applications

    1. Front Matter
      Pages 177-177
    2. Alicia Rodríguez-Carrión, Celeste Campo, Carlos García-Rubio
      Pages 179-193
    3. Rebeca P. Díaz Redondo, Ana Fernández Vilas, José J. Pazos Arias, Alberto Gil Solla, Manuel Ramos Cabrer, Jorge García Duque
      Pages 195-207
  7. Conclusions and Open Trends

    1. Front Matter
      Pages 209-209
    2. José J. Pazos Arias, Ana Fernández Vilas, Rebeca P. Díaz Redondo
      Pages 211-222

About this book

Introduction

The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the  Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and  Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with.  If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web era take into account the users’ point of view and the relationships among users to calculate their predictions. This book aims to help readers to discover and understand the interplay among legal issues such as privacy; technical aspects such as interoperability and scalability; and social aspects such as the influence of affinity, trust, reputation and likeness, when the goal is to offer recommendations that are truly useful to both the user and the provider.

Keywords

Content Recommenders Emergent Semantics Filtering Algorithms Social Networks Ubiquitous Systems

Authors and affiliations

  • José J. Pazos Arias
    • 1
  • Ana Fernández Vilas
    • 2
  • Rebeca P. Díaz Redondo
    • 3
  1. 1.E.T.S.E. de TelecomunicaciónVigoSpain
  2. 2.E.T.S.E. de TelecomunicaciónVigoSpain
  3. 3.E.T.S.E. de TelecomunicaciónVigoSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-25694-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-25693-6
  • Online ISBN 978-3-642-25694-3
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • About this book