Intelligent Systems Reference Library

Recommender Systems for the Social Web

Authors: Pazos Arias, José J., Fernández Vilas, Ana, Díaz Redondo, Rebeca P.

  • Introduces opportunities and challenges that arise in the recommenders' area with the advent of the Web 2.0
  • Presents the mains aspects in the Web 2.0 hype which have to be incorporated in traditional recommender systems such as the user’s active behavior, social networks, as well as the anytime, anywhere phenomenon
  • Written by leading experts in the field
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  • ISBN 978-3-642-25694-3
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Hardcover $179.99
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  • ISBN 978-3-642-25693-6
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About this book

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.

Table of contents (11 chapters)

  • Social Recommender Systems

    Groh, Georg (et al.)

    Pages 3-42

  • Legal Aspects of Recommender Systems in the Web 2.0: Trust, Liability and Social Networking

    Heras Ballell, Teresa Rodríguez

    Pages 43-62

  • Challenges in Tag Recommendations for Collaborative Tagging Systems

    Jäschke, Robert (et al.)

    Pages 65-87

  • A Multi-criteria Approach for Automatic Ontology Recommendation Using Collective Knowledge

    Martínez-Romero, Marcos (et al.)

    Pages 89-103

  • Implicit Trust Networks: A Semantic Approach to Improve Collaborative Recommendations

    Martín-Vicente, Manuela I. (et al.)

    Pages 107-119

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-25694-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA
  • ISBN 978-3-642-25693-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA
  • ISBN 978-3-642-44627-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Recommender Systems for the Social Web
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
32
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-25694-3
DOI
10.1007/978-3-642-25694-3
Hardcover ISBN
978-3-642-25693-6
Softcover ISBN
978-3-642-44627-6
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XX, 224
Topics