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
Tabla de Contenidos:
  • Numerical Algorithms for Personalized Search in Self-organizing Information Networks; Contents; Tables; Figures; Acknowledgments; Chapter 1 Introduction; 1.1 World Wide Web; 1.2 P2P Networks; 1.3 Contributions; PART I WORLD WIDE WEB; Chapter 2 PageRank; Chapter 3 The Second Eigenvalue of the Google Matrix; Chapter 4 The Condition Number of the PageRank Problem; Chapter 5 Extrapolation Algorithms; Chapter 6 Adaptive PageRank; Chapter 7 BlockRank; PART II P2P NETWORKS; Chapter 8 Query-Cycle Simulator; Chapter 9 EigenTrust; Chapter 10 Adaptive P2P Topologies; Chapter 11 Conclusion; Bibliography.

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