Monday 1 March 2010

alba mathematicus

7 comments:

milk said...

and you beast feeder, do you still believe you are unbiased?

xtina said...

http://infolab.stanford.edu/~backrub/google.html

2.1.2 Intuitive Justification

PageRank can be thought of as a model of user behavior. We assume there is a "random surfer" who is given a web page at random and keeps clicking on links, never hitting "back" but eventually gets bored and starts on another random page. The probability that the random surfer visits a page is its PageRank. And, the d damping factor is the probability at each page the "random surfer" will get bored and request another random page. One important variation is to only add the damping factor d to a single page, or a group of pages. This allows for personalization and can make it nearly impossible to deliberately mislead the system in order to get a higher ranking. We have several other extensions to PageRank, again see [Page 98].

xtina said...

PageRank or PR(A) can be calculated using a simple iterative algorithm, and corresponds to the principal eigenvector of the normalized link matrix of the web. Also, a PageRank for 26 million web pages can be computed in a few hours on a medium size workstation. There are many other details which are beyond the scope of this paper.

xtina said...

"identified surfer"

xtina said...

Her husband's fool, is not fooling

xtina said...

http://www3.interscience.wiley.com/doiinfo.html

xtina said...

http://en.wikipedia.org/wiki/Wolfram_Alpha