Numerical algorithms for personalized search in self-organizing information networks /

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This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike properties underlyi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kamvar, Sep, 1977-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, ©2010.
Temas:
Database searching > Mathematics.
Information networks > Mathematics.
Content analysis (Communication) > Mathematics.
Self-organizing systems > Data processing.
Algorithms.
Internet searching > Mathematics.
Computer algorithms.
Bases de données > Interrogation > Mathématiques.
Réseaux d'information > Mathématiques.
Analyse de contenu (Communication) > Mathématiques.
Systèmes auto-organisés > Informatique.
Algorithmes.
Recherche sur Internet > Mathématiques.
algorithms.
LANGUAGE ARTS & DISCIPLINES > Library & Information Science > General.
MATHEMATICS > General.
Computer algorithms
Algorithms
Self-organizing systems > Data processing
Acceso en línea:Texto completo
Descripción
Sumario:This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, and delves into realistic scenarios regarding Web-scale data. Sep Kamvar focuses on eigenvector-based techniques in Web search, introducing a personalized variant of Google's PageRank algorithm, and he outlines algorithms--such as the now-famous quad.
Descripción Física:1 online resource (xiv, 139 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 135-139).
ISBN:9781400837069
1400837065

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