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  #1  
Old July 23rd, 2008, 11:29 AM
Steph J Steph J is offline
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Term Vector Theory

Hiya,

I was just wondering if anyone knows about the Term Vector Theory as detailed by Miislita.com:

http://www.miislita.com/term-vector/term-vector-1.html

The gist of it seems to be that you can have 1000 pages and 3 of them contain keyword rich content.. but if you were to include that keyword once across the remaining 997 pages, then you're reducing the weight of that keyword and thus decreasing your chances of ranking well for that term.

Does anyone know any more about this theory, or solidly follow it?

Thanks
Steph

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  #2  
Old July 23rd, 2008, 07:11 PM
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Looks like complete rubbish to me...
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Old July 23rd, 2008, 07:58 PM
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Write great content and you will not need to worry much about all of these theories.

Write great content and SEO is a five minute job.
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Old July 24th, 2008, 02:51 AM
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Quote:
Originally Posted by Steph J
Hiya,

I was just wondering if anyone knows about the Term Vector Theory as detailed by Miislita.com:

http://www.miislita.com/term-vector/term-vector-1.html

The gist of it seems to be that you can have 1000 pages and 3 of them contain keyword rich content.. but if you were to include that keyword once across the remaining 997 pages, then you're reducing the weight of that keyword and thus decreasing your chances of ranking well for that term.

Does anyone know any more about this theory, or solidly follow it?

Thanks
Steph


While I don’t have time to go thro’ the post you’ve mentioned,
Term vector theory, better known as vector space model is one of the fundamental information retrieval ( IR ) model.

For your academic interest I’m attaching a research paper filed by Google ranking algorithm fellow, Amit Singhal about modern day Information Retrieval

It’s better to leave all theories to the algo developer teams unless you are trying to get job there;)
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googler agrees: Nice find! You just have this stuf laying around lol
Attached Files
File Type: pdf ieee2001.pdf (85.8 KB, 36 views)
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  #5  
Old July 24th, 2008, 07:27 AM
Keiros Keiros is offline
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Quote:
Originally Posted by gazzahk
Looks like complete rubbish to me...



No, that's not rubbish at all, have you really read it.

The conclusion of the article is that focusing on keyword density is a loss of time.

But the first poster misunderstood part of the article and his concusion is irrelevant

The article says:

Quote:
Thus, terms which appear in too many documents (e.g., stopwords, very frequent terms) receive a low weight, while uncommon terms which appear in few documents receive a high weight. This makes sense since too common terms (e.g., "a", "the", "of", etc) are not very useful for distinguishing a relevant document from a non-relevant one. The two extremes are not recommended in rutinary retrieval work. Terms with acceptable weights are those that are not too common or too rare; i.e. their term vectors are not too far or too close to the query vector.


That's the filtration process used by any search engine, in which it will remove useless words (like stop words) or words that appear so often within the corpus of documents that they do not add any semantic meaning.

If you read the whole article and ....understand it, it is impossible to conclude that:
Quote:
.... if you were to include that keyword once across the remaining 997 pages, then you're reducing the weight of that keyword and thus decreasing your chances of ranking well for that term.

Last edited by Keiros : July 24th, 2008 at 07:40 AM.

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  #6  
Old July 24th, 2008, 09:42 AM
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Thanks for the summary Keiros. The article sounds like required reading for anyone overly obsessed with keyword density.

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Old July 24th, 2008, 09:45 AM
Steph J Steph J is offline
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Hi,

Thanks for everyone's replies. It seems I did misunderstand it but it is quite tricky for me to get my head around. I will re-read it and maybe it will sink in better!

I was just interested to know if anyone followed this or strongly believed in its value.

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Old September 25th, 2008, 02:00 PM
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Is it easy to include a search program
do they use any special kind of ways for search engines ?

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