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Secret pagerank

Discussion in 'White Hat SEO' started by tar729, Feb 8, 2020.

  1. tar729

    tar729 Regular Member

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    translated from Russian Google

    Few people know that a pager doesn’t flow at all from a link . This is not water for you. The comparison is not correct and creates confusion in the minds of seo specialists.
    In fact, Google assigns it to a page after analyzing the link. Moreover, it appoints not only an acceptor, but also a donor.

    This analysis includes 3 ratings:
    1. Relevance of link text to donor
    2. Relevance of link text to acceptor
    3. Difference of relevance between donor and acceptor relative to link text.

    These parameters allow you to calculate the usefulness of a link for following it.
    Based on the measure of the usefulness of the link and its location on the page, the probable clickability of the link in percent is estimated . Donor parameters such as the number of outgoing and incoming links , their ratio , in fact, have no effect on which pager

    will be assigned to the acceptor. However, most evaluation services use this ratio to evaluate link quality. This technique is deprecated and no longer works. That is why Google has stopped showing the value of the pager . Incorrect assessment of seo by the specialists of the transmitted pager and its use in link building has become detrimental to the quality of Google searches .

    Of course, inside the Google algorithm , the calculation of the pager is preserved and modified. It is also important to know that since 2016, the pager has been appointed not only to the acceptor, but also to the donor. Therefore, situations often arise when the positions of search queries grow on the donor more than on the acceptor. Google gives a pager page bonus to the donor page as a thank you for the correct and useful link. This is a kind of payment by Google to the source of the link, because the visitor himself does not pay for the usefulness of the specified route. So Google implements the principle of "you to me, and I to you" without human intervention. Now you can see how meaningless comparing pager flowing with water is.

    After all, water does not flow in the opposite direction, and even more so, its amount cannot increase. But this is often the case with the pager and the donor can get more pager than the acceptor got it. There is also an important secret about din that professionals should know. Pagerank is not the only thing that is “transmitted” from a donor to an acceptor. Pagerank is a trust factor , but there is also a semantic factor (semantic) that “passes” from a donor to an acceptor. There are many features that you are not using associated with this factor. The fact is that the ranking of the pages takes place separately, according to the semantic factor and the pager , and then the values are multiplied and the resulting value turns into relevance. Those. Relevance is trust * semantic meaning. What is the use of correct and valuable information if no one trusts it? Therefore, relevance consists of the product of these two parameters. But not so simple. In fact, each parameter has a coefficient; therefore, in one case, the role of trust is greater and the semantics are less. In the other case, on the contrary, priority is given to semantics. This difference is supported by a number of interesting seo technologies that can turn your mind about modern seo and its capabilities. For example, relevance enhancers work on this.
     
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  2. look_nohat

    look_nohat Registered Member

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    So how we can implement this in real world practice?

    Any case study & proof to support this will be appreciated, thank you.
     
  3. Nubian Content

    Nubian Content Jr. VIP Jr. VIP

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    Thanks for the headache.
     
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  4. tar729

    tar729 Regular Member

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    a terrible translation makes my help useless to you. are there any expats among you who are equally fluent in Russian and English, taking into account their knowledge of seo?
     
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  5. OlafRustle

    OlafRustle Regular Member

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    "Links don't just give authority and relevance to the page they're pointed to but also to the page they're on"
     
  6. tar729

    tar729 Regular Member

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    quite so
     
  7. bartosimpsonio

    bartosimpsonio Jr. VIP Jr. VIP

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    I think I've seen this text posted here before by a Russian member as well.
     
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  8. tar729

    tar729 Regular Member

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    You're absolutely right, I've been here before, but I haven't been able to explain to you how it works. So I decided to choose a different tactic. I'm trying to explain it to you in small steps. I am very pleased that I was able to explain to you that Google assigns PageRank not only to the acceptor, but also to the donor. I intend to move in the further understanding of amplification technology as slowly and clearly.

    Let's take a closer look at the link between the trust factor and semantic meaning. If you don't mind. As mentioned earlier, different coefficients are applied to both factors before they are multiplied inside the Google algorithm. These coefficients depend on the links that go from the page and to the page. For example, if a page has only outgoing links and no incoming links, then this page will get a very strong coefficient to the PageRank parameter, and the coefficient to the semantic parameter will be absent. As a result, the product of these parameters (relevance) will be completely dependent on the trust bonus that Google will give the page for each outgoing relevant link.

    And if the page will only have back links from the PBN and no outgoing ones, then the relevance of such a page will be completely dependent on the semantic semantic part. In this case, the meaning contained in different texts of backlinks will be represented by their semantic sum. We call this effect "semantic pumping". Pumping meaning from link texts. The more link texts there are, the more semantic meaning the page will get. But the PageRank on this page will be minimal. With pbn, it will come very small.

    So, we have 2 different types of pages and 2 different WAYS for Google to EVALUATE the relevance of these pages. One estimate will be almost entirely from the PageRank estimate (due to the strong coefficient to the parameter). And the other assessment will be almost entirely from the semantic part with minimal PageRank. The result of works on both pages (relevance) may be the same and both pages will get the same positions in the serp. The different way Google evaluates the relevance of both pages is the secret key to building a relevance increment amplifier.

    [​IMG]

    in the picture you can see 3 sites. the bottom two have different internal link structures. These structures provide 2 different ways for Google to evaluate their relevance. Because of this, very interesting processes occur when ranking Google. These processes are natural and are white. These are just different structures

    [​IMG]


    I’m not sure that Google will translate it correctly ...



    Stages of overclocking the relevance of an SEO transistor:

    The first update of search results after laying out on the hosting of both sites leads to the appointment

    both sites have approximately the same positions, because the power of the influence of the factor of trust and semantics

    are approximately equal, and the external link (link from site1 to site2) and its impact have not yet been calculated.



    Second update :

    External link counted. The site2 homepage received a semantic weight BONUS with site1 from the link . .

    Due to this bonus, she increased in search results and overtook site1 by position.

    The site1 main page does not have any bonuses, so its position in the search results

    remain unchanged.



    Third update :

    The site1 homepage receives a BONUS of trust for the link to site2 being very relevant.


    note*

    E is a kind of "thank you" to the designated search engine which potentially gone over

    by reference, a person himself cannot say site1. For it, this makes the search algorithm, thereby preserving

    pagerank balance throughout the system. Without these bonuses, the entire pager would sooner or later accumulate on several sites.

    This new principle of trust distribution was introduced in Google with the abolition of the previous pagerank distribution scheme in 2016.

    Yandex introduced this principle of bonuses for a relevant link in 2009 along with matrixnet .



    The bonus of the trust on site1 stuck with the existing semantic pumping from the internal pages on site1.

    (there was a multiplication of the weights of these factors), as a result of which the position of site1 went up sharply.



    Fourth update of search results:

    Due to the sharply grown positions of site1 in the previous update , in this update , the value was recalculated

    transmitted semantic weight link to site2, which led to a sharp increase in the position of site2, such a sharp,

    that the position of site2 overtook the position of site1.

    Thus, the situation became similar to the situation that was after the 2nd update . There is a cyclic process

    in which both sites with each subsequent update of the search results, alternating, rush to TOP1 until

    while the condition remains: the transferred semantic weight with site1 leads to an increase in the position of site2 and overtakes it.

    As soon as this condition is violated, the tandem of the two sites stops racing to the TOP .

    [​IMG]

    the search query in the screenshot is equivalent to the English-language query in Google " advertising in advoards" As you can see, both sites took the top1 and TOP2 places, while surpassing the canonical Yandex service for contextual advertising in serp. This is equivalent to the fact that in English-language serp, these sites would overtake the site ads.google.com

    Note that this method is completely white!
     
    Last edited by a moderator: Feb 9, 2020
  9. Sanjuwa

    Sanjuwa Registered Member

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    Give the Russian text.
    I will hire someone to translate it.
     
  10. tar729

    tar729 Regular Member

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    site1 site2 pbn

    I just shared my knowledge with you for free. The technology has been working since 2014. This is quite difficult to understand and it is not so easy to do everything correctly. There are a lot of nuances. Today, seo is much easier to earn by cheating than by working. Therefore, this technology has not gained popularity in Russia. But her time will come. Now people are investing more in the development and improvement of websites, in improving business models, and in commercial ranking factors. They make profits faster and clearer than any seo methods. The more competition there is in serp, the more interest there will be in this technology. It will only increase its relevance over time. The principle on which it all works will never change. This will not happen in 5 or 10 years. And always this method will remain absolutely white.
     
  11. tar729

    tar729 Regular Member

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    please, I'm not sorry. http://seozoom10.com/seotransistor.html
    just put the description right here for everyone to see. you can hide all commercial contacts. and I am always ready to give you here a detailed full explanation of what you will not understand.
     
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  12. ranga

    ranga Regular Member

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    what is the source of this theory? Can you share link even if its in russian
     
  13. tar729

    tar729 Regular Member

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    The principle of "you me I you" in terms of reference ranking was patented by Google in 2006, however, it was only possible to implement it in the Google algorithm in 2016, along with disabling the toolbar value of PageRank. This was necessary in order to maintain the balance of the PageRank, otherwise it would have accumulated all over time on large trust sites. The other principles of influence of ranking factors were studied in detail in Yandex and later in Google. In fact, the fact that the strongest factor always has an advantage over the weak ones is a basic principle in any ranking. Because the strongest factor has greater completeness and accuracy. There is no secret in this, and there never was. So both types of ranking by the most important factors (trust and semantics) were very easy to calculate. Well, further experiments and numerous tests completely convinced the developers of the method's operability.

    if you are referring to the deeper roots of the theory, then they are described by the link in sufficient volume.

    If I tell you that this technology appeared in the depths of Yandex in 2010 and got me in the form of an insider, will you believe it? :) Can I tell you more about decentralized search engine algorithms? About semantic hashes of pages and principles of their analysis? Or maybe about building emotional graphs and a new ranking factor that will not appear soon? Or maybe you are interested in the principles of synthesis of low-frequency search queries without waiting for their input into the search by users? To build a complete semantic language model, the current methods are no longer applicable. It will take a thousand years to collect statistics on long search queries. So the collection is carried out quite differently and is combined with the mining of Google's own cryptocurrency. :)
     
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    Last edited by a moderator: Feb 9, 2020
  14. look_nohat

    look_nohat Registered Member

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    Loaded the link in chrome browser and then click the "Translate this page" icon next to the star "Bookmark this page" icon, and voila, the translated version is more than good enough for me to understand.

    SEO Transistor translated.PNG


    Leave alone the text in the attached image, it won't be translated though, lol..
     
  15. OlafRustle

    OlafRustle Regular Member

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    So I just read the site translated by DeepL which is a little more understandable.

    So what I understood from it: you make a website 1 which has many internal links pointing to the homepage. Then you link from the homepage of site 1 to the homepage of site 2. And this homepage of page 2 links to many internal pages. And this should trigger the loop because page 1 gets releveance from the incoming internal links and the outgoing link and page 2 from the incoming link.
    What I don't get is how the money site comes into it. On the image the money site links to site 1. But how does this work?
     
  16. tar729

    tar729 Regular Member

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    There can be many inclusion schemes. The classic transistor also has many switching circuits, depending on the purpose of the circuit. In this case, the site receives a trust bonus due to a link to site1. You can also see from the screenshot that you can increase incoming relevance by sending traffic to point B.
     
  17. Textsurfer

    Textsurfer Junior Member

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    I know you from that russian forum where people think you're just a troll OP, but in reality I think you're just insane xD
     
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  18. tar729

    tar729 Regular Member

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    I suggest not to raise here questions of traffic conversion by means of the schemes similar in classical circuitry. Here the whole direction of academic seo-circuitry. This is too distant a future for you to be interested in right now. As long as the competition does not grow again twenty times from the current level, these technologies will not be in demand.
    While traffic processing technologies, building narrow-band filters, dividing traffic intents into components, separating high-frequency traffic into low-frequency components, and other converters of constant traffic to variable, should not interest you. Now you can only take advantage of the increased relevance to building perfect links or the extraction of traffic in the not-too-competitive themes.
     
  19. tar729

    tar729 Regular Member

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    Textsurfer

    Well...I'm not really interested in who you think I am. I am a reverse engineer, owner of a service for building semantic graphs-the basis for ranking all search engines, as well as a quality meter for outgoing links. One of the investors of my service sape.ru here's the proof https://www.searchengines.ru/kto_vlozhilsya_v_sozdanie.html those who are interested can translate the page themselves. You are suffering here do not know which links are black or white. I don't have that problem. I can not only divide them into groups, but also measure how much weight each of them is, extrapolate the weight into the expected increment of positions for the site according to the request standing in the link text. I also have a lot of insider documents from Yandex and a lot of friends among developers. And...I am always ready to cooperate.
     
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    Last edited: Feb 9, 2020
  20. rafark

    rafark Jr. VIP Jr. VIP

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    I think this thread is kind of weird but I do appreciate the OP's willingness to share his views with us.
     
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