Recommender Systems for the Social Web

Released on by José J. Pazos Arias
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  • Recommender Systems for the Social Web Book Detail

  • Author : José J. Pazos Arias
  • Release Date : 2012-01-24
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Pages : 226
  • ISBN 13 : 3642256945
  • File Size : 40,40 MB
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Recommender Systems for the Social Web by José J. Pazos Arias PDF Summary

Book Description: 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.

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Recommender Systems for the Social Web

Recommender Systems for the Social Web

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The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its grow

Recommender Systems and the Social Web

Recommender Systems and the Social Web

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​There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to pro

Social Network-Based Recommender Systems

Social Network-Based Recommender Systems

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This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, re