Numerical algorithms for personalized search in self-organizing information networks
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...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Princeton :
Princeton University Press
c2010.
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| Colección: | EBSCO Academic eBook Collection Complete.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b31306226*spi |
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.
