In the past few weeks, there has been renewed enthusiasm for the Artificial Intelligence Optimization (AIO) debate, and many news sites and blogs have talked about it.<\/span>\u00a0We also intend to continue this process.<\/span>\u00a0In the past weeks,\u00a0SEO experts’<\/a>\u00a0attention to the\u00a0impact of HTTPS on SEO<\/a>\u00a0and\u00a0SEO\u00a0is shifting towards RankBrain.<\/span><\/p>\n The fact of the matter is that artificial intelligence optimization seems to be a contradictory concept.<\/span>\u00a0If we imagine Google as a young child, when we send this kid to school and teach him to read a book, we expect him to understand the meaning of the sentences and the writing of the book as well.<\/span>\u00a0If the contents, information, and images of the book are not optimized, this child will not be able to learn and understand its contents.<\/span><\/p>\n Site optimization for the RankBrain algorithm is not a complicated thing.<\/span>\u00a0So why is there so much attention being paid to this issue, even if the algorithm is not new?<\/span>\u00a0In this article, we will review RankBrain and explain the previous concepts and analyze the effects of this algorithm on SEO.<\/span><\/p>\n RankBrain<\/a> is a machine-learning algorithm used by Google to convert large volumes of qualitative data into quantitative data and vectors so that it can be comprehended and analyzed by the computer.<\/span><\/p>\n 15% of Google searches are searched for the first time per day, so it is common for this algorithm to see new searches.<\/span>\u00a0Using previously processed data, RankBrain can generate good results for new searches based on similar searches.<\/span><\/p>\n The percentage of new Google search terms has dropped from 25% in 2007 to 15% in 2017.<\/span>\u00a0But thanks to the rise of smartphones, the number of new searches has increased overall.<\/span>\u00a0Generally, RankBrain does the following:<\/span><\/p>\n Machine Learning\u00a0 algorithm is a computer science machine created by Arthur Samuel in 1959<\/a> and is described as follows:<\/span><\/p>\n [jv_quote style = “default” width = “0”] Machine learning algorithm gives computers the ability to learn without being programmed. [\/ jv_quote]<\/span><\/p>\n Arthur Samuel founded early research in this area, including research on pattern recognition and computational learning theory.<\/span><\/p>\n The machine learning algorithm focuses on building algorithms that can predict based on statistical data and frequencies.<\/span>\u00a0Machine learning has been used in many applications before the RankBrain algorithm.<\/span>\u00a0These include spyware, network threats, intruder detection, and image character recognition.<\/span>\u00a0Although this science is part of artificial intelligence, it is not an advanced type and a high level one.<\/span><\/p>\n Association Rule Learning<\/a> is a method of data mining in large databases that can be used to discover attractive relationships between existing variables.<\/span><\/p>\n Recently, this method has been used in online stores to detect the behavior of customers when shopping, producing discount coupons and training services.<\/span>\u00a0For example, a store can predict customers’ shopping behavior by collecting and analyzing its customer data.<\/span><\/p>\n The ARL method is also used to predict dependencies and relationships between variables.<\/span>\u00a0For example, if a customer buys cheese, onions, and onions in the store, he or she is likely to put the meat in his basket.<\/span>\u00a0The RankBrain algorithm uses such rules to provide search results, especially when different meanings of a word or phrase are picked.<\/span><\/p>\n An example of this is the English word, Dench.<\/span>\u00a0If a user searches for this word, three meanings are derived.<\/span>\u00a0Folklore is a brand of clothing or American actress Judi Dench, meanings that come from it.<\/span>\u00a0Due to the ambiguity of the meaning of this word, Google uses its algorithms and attempts to understand the user’s behavior while searching for the word, trying to understand the main purpose of the user and to display appropriate search results.<\/span><\/p>\n The core concept of ARL is summarized in support, accuracy, progress, and development, but we use the concepts of support and trust in RankBrain.<\/span><\/p>\n ARL support means measuring how an item is displayed in a database over some time.<\/span>\u00a0This concept varies with the search keyword density or the number of views they display.<\/span><\/p>\n Accuracy in ARL means measuring the accuracy of the prediction results of this algorithm.<\/span>\u00a0This function works based on interrelated vocabulary.<\/span>\u00a0For example, if a user searches for the word POTUS, which is abbreviated to US President, there is a high probability that Donald Trump will either search or see in the search results.<\/span>\u00a0We also see the names of Barack Obama, George W. Bush or Abraham Lincoln as their favorite search results.<\/span><\/p>\n Google’s RankBrain algorithm uses these dependency rules in its search results to show the most likely and most relevant items to the user.<\/span><\/p>\n The RankBrain project has been implemented in a variety of languages \u200b\u200branging from English to Hindi.<\/span>\u00a0The sole purpose of this algorithm is to help Google showcase the best in search terms so that the user gets the best user experience from Google and gets satisfactory results from their search.<\/span><\/p>\n The difference between Google’s work before and after RankBrain was launched was that before this algorithm emerged, Google software engineers had always modified their mathematical algorithms to determine the rank and position of sites when searching.<\/span>\u00a0This formula remains constant until an update is released.<\/span>\u00a0RankBrain is part of the core of Google’s search engine and has been in use since 2016.<\/span>\u00a0So with RankBrain, search results are constantly changing and sites are not stable.<\/span><\/p>\n Now that we are familiar with the concept of RankBrain and have realized that this algorithm is working at the core of Google, we may need to change our\u00a0SEO\u00a0strategy<\/a>.<\/span>\u00a0Especially sites whose SEO is an affiliate with backlinks.<\/span>\u00a0But RankBrain is not the same as Google’s former algorithms such as\u00a0Panda <\/a>and Penguin<\/a>.<\/span><\/p>\n In the former Google algorithms, we knew how to avoid being penalized by the penguin algorithm, and by reading a series of articles we could keep the Panda algorithm happy.<\/span>\u00a0On the other side of the story, the RankBrain algorithm is a conceptual model that cannot be optimized for a website in a specific way.<\/span>\u00a0However, there are several SEO techniques that we know are associated with this algorithm.<\/span><\/p>\n The idea of \u200b\u200bmaking a page focused on a particular keyword and building a large number of such pages called so-called Doorway Pages is completely obsolete.<\/span>\u00a0The Hummingbird algorithm<\/a>\u00a0identified these pages in 2103 and removed them from the results page.<\/span>\u00a0RankBrain also doubles the detection power of these pages so that they no longer have a chance to appear in search pages.<\/span><\/p>\n Using such keywords will only result in positive results when first used logically and secondly with appropriate URL content and\u00a0structure.<\/span>\u00a0It also has a positive user experience for users.<\/span><\/p>\n The RankBrain algorithm causes the ranking parameters to be the same for all words and queries and have different weight in each case.<\/span>\u00a0No more instructions can be used for each keyword and phrase.<\/span><\/p>\n Some terms require more content and fewer links, and others depend on less content and more links in the ranking.<\/span>\u00a0This account cannot complicate a fixed version of SEO for every phrase.<\/span><\/p>\n Google’s official SEO guide states that an\u00a0internal link to<\/a>\u00a0an article is effective in ranking it.<\/span>\u00a0Also, the content that is linked from the homepage is more valuable.<\/span><\/p>\n Therefore, optimizing the internal links of the site is one of the most important key factors for pages.<\/span>\u00a0Also, to increase the level of user experience, appropriate internal links between pages and content should be used.<\/span><\/p>\n When the algorithm was launched in 2015, it initially only affected about 15% of search results.<\/span>\u00a0But a year later Google announced that the algorithm was highly developed and now affects almost all searches.<\/span>\u00a0This is probably the reason why many of the search results in 2016 have changed.<\/span><\/p>\n As the RankBrain algorithm becomes more powerful, we become more familiar with the concepts and relationships between the words and understand the relationship between the words searched for by the pages.<\/span>\u00a0This will also be very effective in the development of voice search, as well as in the accuracy of traditional searches.<\/span><\/p>\n If you want to know what is RankBrain?In short, the RankBrain algorithm has been one of Google’s most important changes in recent years.<\/span>\u00a0Due to its concept and function, this algorithm cannot be optimized and SEO.<\/span>\u00a0But understanding it can make the site’s content more optimized and understand the changes and fluctuations in search results.<\/span><\/p>\n RankBrain is Google\u2019s name for a machine-learning artificial intelligence system that\u2019s used to help process its search results, as was reported by Bloomberg and also confirmed to us by Google.<\/p>\n Machine learning<\/a>\u00a0is where a computer teaches itself how to do something, rather than being taught by humans or following detailed programming.<\/p>\n No. RankBrain is part of Google\u2019s overall search \u201calgorithm,\u201d a computer program that\u2019s used to sort through the billions of pages it knows about and finds the ones deemed most relevant for particular queries.<\/p>\n It\u2019s called\u00a0Hummingbird<\/a>, as we reported in the past.\u00a0For years, the overall algorithm didn\u2019t have a formal name. But in the middle of 2013, Google overhauled that algorithm and gave it a name, Hummingbird.<\/p>\n That\u2019s our understanding. Hummingbird is the overall search algorithm, just like a car has an overall engine in it. The engine itself may be made up of various parts, such as an oil filter, a fuel pump, a radiator and so on. In the same way, Hummingbird encompasses various parts, with RankBrain being one of the newest.<\/p>\n In particular, we know RankBrain is part of the overall Hummingbird algorithm because the Bloomberg article makes clear that RankBrain doesn\u2019t handle all searches, as only the overall algorithm would.<\/p>\n Hummingbird also contains other parts with names familiar to those in the\u00a0SEO\u00a0space, such as\u00a0Panda<\/a>,\u00a0<\/span>Penguin<\/a>,<\/span>\u00a0and\u00a0Payday<\/a> (the \u201cPayday Update\u201d was a new algorithm targeted at cleaning up search results for traditionally \u201cspammy queries\u201d such as [payday loan], pornographic and other heavily spammed queries.<\/em><\/span>)designed to fight spam, Pigeon<\/a>\u00a0designed to improve local results,\u00a0Top Heavy<\/a>\u00a0designed to demote ad-heavy pages,\u00a0Mobile Friendly<\/a>\u00a0designed to reward mobile-friendly pages and\u00a0Pirate<\/a>\u00a0designed to fight copyright infringement.<\/span><\/p><\/blockquote>\n PageRank<\/a>\u00a0is part of the overall Hummingbird algorithm that covers a specific way of giving pages credit based on the links from other pages pointing at them.<\/p>\n PageRank is special because it\u2019s the first name that Google ever gave to one of the parts of its ranking algorithm, way back at the time the search engine began, in 1998.<\/p>\n Signals are things Google uses to help determine how to rank webpages.\u00a0For example, it will read the words on a webpage, so words are a signal. If some words are in bold, that might be another signal that\u2019s noted. The calculations used as part of PageRank give a page a PageRank score that\u2019s used as a signal. If a page is noted as being mobile-friendly, that\u2019s another signal that\u2019s registered.<\/p>\n All these signals get processed by various parts within the Hummingbird algorithm<\/a> to figure out which pages Google shows in response to various searches.<\/p>\n Google has fairly consistently spoken of having more than\u00a0200 major ranking signals<\/a>\u00a0that are evaluated that, in turn,\u00a0might have up to 10,000 variations or sub-signals<\/a>. It more typically just says \u201chundreds\u201d of factors, as it did in yesterday\u2019s Bloomberg article.<\/p>\n","protected":false},"excerpt":{"rendered":" Preface In this article, we review Google’s RankBrain algorithm(the RankBrain Algorithm) and analyze the effects of this algorithm on the site and the RankBrain Algorithm with the machine learning algorithm. In the past few weeks, there has been renewed enthusiasm for the Artificial Intelligence Optimization (AIO) debate, and many news sites and blogs have talked […]<\/p>\n","protected":false},"author":1,"featured_media":21051,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"_glsr_average":0,"_glsr_ranking":0,"_glsr_reviews":0,"footnotes":""},"categories":[107,76,3254,3255,77],"tags":[4432,4431,4434,1670,1922,961,4429,4433,4430,4435],"yoast_head":"\n![\"What](\"http:\/\/s3.amazonaws.com\/images.seroundtable.com\/google-rankbrain-1541507760.jpg\")
What is RankBrain?<\/span><\/h3>\n
\n
![\"RankBrain](\"https:\/\/technology.amis.nl\/wp-content\/uploads\/2016\/08\/wpid-photo-jan-14-2013-1115-am1.jpg\")
What is a machine learning algorithm?<\/span><\/h3>\n
![\"R\u00e9sultat](\"https:\/\/cdn-images-1.medium.com\/max\/704\/1*pJQFI2MVkWdpALsKKtj4QQ.png\")
Learn the law of dependency<\/span><\/h2>\n
<\/p>\n
ARL concepts<\/span><\/h3>\n
Support<\/span><\/h4>\n
Precision<\/span><\/h4>\n
RankBrain and SEO<\/span><\/h2>\n
![\"R\u00e9sultat](\"https:\/\/www.webnetcreatives.net\/wp-content\/uploads\/2019\/04\/SEO-Artificial-Intelligence-Ranking-Factors.jpg\")
<\/p>\nOptimization and SEO for RankBrain algorithm<\/span><\/h3>\n
Doorway Pages are no longer working<\/span><\/h3>\n
![\"](\"https:\/\/www.internetmarketingninjas.com\/blog\/wp-content\/uploads\/2015\/03\/google-doorway-page-panelty.png\")
<\/p>\nDifferent searches have different ranking parameters<\/span><\/h3>\n
Internal link structure<\/span><\/h3>\n
What will the future of the RankBrain algorithm look like?<\/span><\/h3>\n
conclusion<\/span><\/h2>\n
FAQ: the RankBrain algorithm<\/h2>\n<\/div>\n
What is RankBrain?<\/h3>\n
What is machine learning?<\/h3>\n
Is RankBrain the new way Google ranks search results?<\/h3>\n
What\u2019s the name of Google\u2019s search algorithm?<\/h2>\n
So RankBrain is part of Google\u2019s Hummingbird search algorithm?<\/h2>\n
I thought the Google algorithm was called \u201cPageRank\u201d<\/h2>\n
What about these \u201csignals\u201d that Google uses for ranking?<\/h2>\n
How many signals are there?<\/h2>\n