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Numerical Algorithms for Personalized Search in Self-organizing Information Networks

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

 

"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."

 

Book sleuthing in the science section of the University of Washington bookstore.

 

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Uploaded on January 7, 2012
Taken on November 25, 2011