9783642256936 - recommender systems for the social web: 32 (intelligent systems reference library, 32) de fernández vilas, ana; pazos arias, josé j.; díaz redondo, rebeca p. (10 resultados)
Recommender Systems for the Social Web (Intelligent Systems Reference Library, Vol. 32)
Pazos Arias, José J.; Fernández Vilas, Ana; Díaz Redondo, Rebeca P.
Idioma: Inglés
Editorial: Springer, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Recommender Systems for the Social Web
José J. Pazos Arias|Ana Fernández Vilas|Rebeca P. Díaz Redondo
Idioma: Inglés
Editorial: Springer Berlin Heidelberg, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Recommender Systems for the Social Web
Pazos Arias, Jose J./ Fernandez Vilas, Ana/ Diaz Redondo, Rebeca P.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 244 pages. 9.50x6.50x0.75 inches. In Stock.
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Idioma: Inglés
Editorial: Springer Spektrum, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: 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 architec…ture 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.
Idioma: Inglés
Editorial: Springer, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Condición: 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
Idioma: Inglés
Editorial: Springer, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Condición: new. Questo è un articolo print on demand.
Recommender Systems for the Social Web
Pazos Arias, José J.; Fernández Vilas, Ana; Díaz Redondo, Rebeca P.
Idioma: Inglés
Editorial: Springer, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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- Impresión bajo demanda
Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Idioma: Inglés
Editorial: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2012, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: 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 revolutioni…zed 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.
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Idioma: Inglés
Editorial: Springer, Springer Jan 2012, 2012
Serie: Libro 17 de 188 - Intelligent Systems Reference Library
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: 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.
