Numerical Algorithms for Personalized Search in Self-organizing Information Networks Free

Author: Sep Kamvar
Edition:
Binding: Kindle Edition
ISBN: B003VQS6YM

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. Get Numerical Algorithms for Personalized Search in Self-organizing Information Networks computer books for free.
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 quadratic extrapolation technique--that speed up computation, making personalized PageRank feasible. Kamvar suggests that Power Method-related techniques ultimatel Check Numerical Algorithms for Personalized Search in Self-organizing Information Networks our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Numerical Algorithms for Personalized Search in Self-organizing Information Networks Free

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 Kamvar suggests that Power Method-related techniques ultimatel

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