Just for a moment, let’s imagine we’re the guys at Google and we have been tasked with coming up with a formula (a new robust Google search algorithm) that will decide which websites are the best in terms of any query entered into our search engine.
How many factors would we need to consider?
Size, age, frequency of updates, inbound links, outbound links - are there 10, 20, 50 or more than 100 differing factors?
And then, when we have a list, what weighting do we apply to each?
Finally, how do we ensure that no-one can then successfully back engineer our algorithm – do we develop red-herrrings such as PageRank?
Just a thought (or two) - I would be interested to gather a few opinions.
If we set out to achieve what Google want to achieve, why couldn't we possibly recreate (or effectively back-engineer) the Google algo?More Information:
- Google is testing a new data center infrastructure, a feat much bigger and comprehensive than an algorithm change
- Let's hope for our scarce attention's sake that Google can get it right this time, and apply its unquestioned engineering talent in ways that actually
- Matts said just that Google's algorithms are based only on “wow! this site is good/great, I'll link to it” type of links, because this meritocratic approach leads to better SE results
- Google algorithms have changed!! What the hell are algorithms? Algorithms are the software "recipes" search engines use for reading keywords, page titles, page descriptions, judging relevancy of text content
- com 4/9/2010 — Google has kept a promise it made last year: Site speed is now a ranking factor in Google's algorithm, and
More:
- goRank - Keyword Density Research
- Why is this ignored by Google?
- New PageRank & Back Link Data (finally!)
- Old School Google
- google dancing?
- Google Rank After Open Directory Sumission
- Googlebot Able To Understand JavaScript
- Google's Visited the Forum
- Java Redirects
- Googlebot not following robots.txt?


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