bohous

Hi guys, can anybody explain me how google rank and search for sites in present days?

OzMan

yes it's quite simple

U=f(UF, UA),

...where f may refer to a function, such as a sum or weighted sum, UF may refer to an update frequency score that represents how often a document (or page) is updated, and UA may refer to an update amount score that represents how much the document (or page) has changed over time. UF may be determined in a number of ways, including as an average time between updates, the number of updates in a given time period, etc.

UA may also be determined as a function of one or more factors, such as the number of "new" or unique pages associated with a document over a period of time. Another factor might include the ratio of the number of new or unique pages associated with a document over a period of time versus the total number of pages associated with that document. Yet another factor may include the amount that the document is updated over one or more periods of time (e.g., n % of a document's visible content may change over a period t (e.g., last m months)), which might be an average value. A further factor might include the amount that the document (or page) has changed in one or more periods of time (e.g., within the last x days).

According to one exemplary implementation, UA may be determined as a function of differently weighted portions of document content. For instance, content deemed to be unimportant if updated/changed, such as Javascript, comments, advertisements, navigational elements, boilerplate material, or date/time tags, may be given relatively little weight or even ignored altogether when determining UA. On the other hand, content deemed to be important if updated/changed (e.g., more often, more recently, more extensively, etc.), such as the title or anchor text associated with the forward links, could be given more weight than changes to other content when determining UA.

UF and UA may be used in other ways to influence the score assigned to a document. For example, the rate of change in a current time period can be compared to the rate of change in another (e.g., previous) time period to determine whether there is an acceleration or deceleration trend. Documents for which there is an increase in the rate of change might be scored higher than those documents for which there is a steady rate of change, even if that rate of change is relatively high. The amount of change may also be a factor in this scoring. For example, documents for which there is an increase in the rate of change when that amount of change is greater than some threshold might be scored higher than those documents for which there is a steady rate of change or an amount of change is less than the threshold.

Conversely, failing to follow that simple formula will reverse the results, so rather than UF you would get a big fat FU from google

Humpy Leftnut

I love it when you talk dirty to me.

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Sosa

don't fuck with google

D

I'm just learning about this bricks and mortar of it all, myself, now.

Eigenvalues of Correlation Matrices.

Fun stuff.

As Ozman suggested, Google uses 2 of them in its pagerank function (UF and UA being distinct eigenvalues (I believe was his point)).

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Freeboyd

That about sums it up. But the upside is God is an amoral bureaucrat with a sweet tooth for cash.

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bohous

thank you