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Numerical Algorithms for Personalized Search in Self-organizing Information Networks

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Pages
156 pages
Reading time
6 hours

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The book provides a comprehensive exploration of personalized search and reputation management, focusing on theoretical foundations and scalable algorithms. It leverages graphlike properties to enhance these systems, addressing practical applications in peer-to-peer and social networks. By integrating foundational research, it examines realistic scenarios involving large-scale web data, making it a crucial resource for understanding advancements in this evolving field.

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Numerical Algorithms for Personalized Search in Self-organizing Information Networks, Sep Kamvar

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Released
2010
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(Hardcover)
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