It is unreasonable to update.
I updated this blog for more than a month. Google like it when I update often. So I'm doing unnecessary update to find out what will Google do. Last year I started a blog, updates every two weeks and has been a great increase in search traffic from then (anecdotal evidence I know, but controlled experiments on SEO is difficult).
Now my updates are less frequent, my traffic sank a little again. So I was hoping that this update will cause my traffic again increase.
So it's not really unnecessary updates, it's part of an experiment to see how Google responds. And in fact I actually managed to get this feature into an interesting post on the search engines, so the experiment is apparently hopeless flawed. But read on, if you are interested in a waffle about how search engines such as Google actually operate.
We're talking about the search for signals, there are several different philosophy when it comes to search. At present, so search engines work is essentially a ' bag of words "approach. Which means, basically, are acting in a document, simply as a list of words without order or importance; "I'm a funny dog" is treated the same as "am I funny dog".
Search related documents is then just a matter of counting the number of words that match between the document and the search query. Some simple measures of assistance, such as the resulting asset stripping the last word, which includes. For example, the "complete" may be considered to be the "end" to match the ' End ', ' end ' and ' End ' all. You can see it in action on the Google results page, where highlights the words that are similar to those that you specified.
Word order in English is important, however, search engines and lose some of the information shozenÃm order. Return some of this information, search engines also take the n-gram sub-phrases from the document, so rather than the simplistic bag of words, they are also a list of all sub-phrases contained in the document with the appropriate assistance. For example, if your document contains the following text: "I'm a funny dog," then the search engine internally may present this document as "dog", "I", "fun", "I", "I", "ridiculous", "funny dog". This representation was stripped of its bark stopwords, words that are so common they are very useful, such as "I" and "and", has emerged as "ridiculous" to "fun" and it's part of the bigram (two words) sentences, which means that it will rank better for "funny dog" than "the dog" – in both cases, the query consists of 2 words, which are present in the document, but using 2-gram phrase in an index, we can write the algorithm, which recognizes that "funny dog" is also in the document, so the query "funny dog" 3 hits in the index, while "dog" is just gets 2.
They told me that the 2009 Google has collected data 6-gram phrase for the entire web site, (it is quite a lot of data). These words may also be weighted according to their location within a document (towards the top in the title? as? the text link?).
Documents are also weighted according to their competence, calculated on how many sites link to your web site (known as PageRank). And another factor is the frequency of updates. Therefore, this update, only to find out what kind of impact it has.
Earlier I mentioned the different search philosophy, but I think it is probably a matter for a more detailed post with images, and code examples, and all kinds of actual content.
If your taste information for search engines was encouraged, but is not met, I recommend my boss podcast about how SEO is a modern myth.
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This entry was posted on 10. May 2011, 3: 57 am and is filed under Web. You can follow any responses to this entry through the RSS 2.0 You can have a response, or trackback from your own Web site.
