ISBN: 9783642256936 - recommender systems for the social web: 32 (12 risultati)

Recommender Systems for the Social Web
Pazos Arias, Jose J.; Vilas, Ana Fernandez; Redondo, Rebeca P. Diaz
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
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Recommender Systems for the Social Web: 32 (Intelligent Systems Reference Library, 32) [Hardcover] [Jan 23, 2012] Pazos Arias, José J.; Fernández Vilas, Ana and Díaz Redondo, Rebeca P.
Pazos Arias, José J.; Fernández Vilas, Ana; Díaz Redondo, Rebeca P.
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
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Recommender Systems for the Social Web (Intelligent Systems Reference Library, Vol. 32)
Pazos Arias, José J.; Fernández Vilas, Ana; Díaz Redondo, Rebeca P.
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
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Recommender Systems for the Social Web
José J. Pazos Arias|Ana Fernández Vilas|Rebeca P. Díaz Redondo
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
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Da: moluna, Greven, Germaniamoluna
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Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 theusers' 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.…

Recommender Systems for the Social Web
Pazos Arias, Jose J./ Fernandez Vilas, Ana/ Diaz Redondo, Rebeca P.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 244 pages. 9.50x6.50x0.75 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 theusers¿ 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.…

Recommender Systems for the Social Web (Intelligent Systems Reference Library, Vol. 32)
Pazos Arias, José J., Fernández Vilas, Ana, Díaz Redondo, Re
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Recommender Systems for the Social Web
Pazos Arias, Jose J.; Vilas, Ana Fernandez; Redondo, Rebeca P. Diaz
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
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Lingua: Inglese
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Serie: Libro 17 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2012, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 theusers' 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. 244 pp. Englisch.…

Lingua: Inglese
Editore: Springer, Springer Jan 2012, 2012
Serie: Libro 17 di 188 - Intelligent Systems Reference Library
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 theusers¿ 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.…