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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 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.
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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