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 (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, NJ : Princeton University Press, [2010]
Edición:Course Book
Temas:
Algorithms.
Content analysis (Communication) > Mathematics.
Content analysis > Mathematics.
Database searching > Mathematics.
Information networks > Mathematics.
Internet searching > Mathematics.
Self-organizing systems > Data processing.
Web sites > Ratings and rankings > Mathematics.
COMPUTERS / Computer Science.
Acceso en línea:Texto completo
Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Contents
  • Tables
  • Figures
  • Acknowledgments
  • Chapter One. Introduction
  • PART I. World Wide Web
  • Chapter Two. PageRank
  • Chapter Three. The Second Eigenvalue of the Google Matrix
  • Chapter Four. The Condition Number of the PageRank Problem
  • Chapter Five. Extrapolation Algorithms
  • Chapter Six. Adaptive PageRank
  • Chapter Seven. BlockRank
  • PART II. P2P Networks
  • Chapter Eight. Query-Cycle Simulator
  • Chapter Nine. Eigen Trust
  • Chapter Ten. Adaptive P2P Topologies
  • Chapter Eleven. Conclusion
  • Bibliography

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