I read somewhere that it used a hidden markov model.

It checks each page and gives each link a click probability.
It also gives a probability that the user will enter a new
address instead of clicking a link.

We then, by using a hidden markov model, calculate the
probability that the user will be at a particular page
after an infinite time using random browsing according
to the probabilies found.

This probability is then used as a basis for ranking
results.

Magnus Johansson


> We all know Lucene algorithm (thanks to open source:).
> Anybody has a general idea of how Google search
> algorithm works? How is the page ranking (I don't mean
> the paid ones) determined by Google? I have strong
> interest to know this. Any idea or feedback will be
> appreciated. Thanks!
>
> Ardor
>
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