#googlerankbrain

[pimadigital]

Google RankBrain là gì? 8 cách tối ưu Rankbrain hiệu quả nhất

Trong một bài báo của Bloomberg năm 2015, nhà khoa học nổi tiếng và giám đốc nghiên cứu cấp cao của Google – Greg Corrado nói rằng: “Thuật toán Google RankBrain đã trở thành yếu tố xếp hạng quan trọng thứ ba của Google”. Mặc dù Google chưa xác nhận liệu điều này có thực sự chính xác hay không nhưng theo đánh giá chung, RankBrain vẫn là thuật toán gây ảnh hưởng lớn đến những kết quả hiển thị trên SERP.

Dưới đây, hãy cùng Pima Digital tìm hiểu chi tiết hơn về thuật toán RankBrain trong nội dung bài viết này nhé.

Xem chi tiết: https://pimadigital.vn/google-rankbrain/

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[nefdigital]

Google RankBrain – Thuật toán quyết định xếp hạng SEOer cần nắm rõ

Google RankBrain là một thuật toán, nó có thể thấu hiểu người dùng đang muốn gì? Để trả lại kết quả mà họ mong muốn. Vì thế, thuật toán này quyết định xếp hạng mà SEOer cần phải biết để có chiến lược SEO phù hợp.

Nội dung bài viết dưới đây sẽ cung cấp thông tin cho bạn bởi Nef Digital -một đơn vị hàng đầu về dịch vụ SEO uy tín chất lượng tại Việt Nam.

Xem thêm: https://wanhxinh.com/google-rankbrain/

[wphubs]

【2019年必看】什麼是Google RankBrain SEO以及它如何影響您的排名優化？

在2015年末宣布，RankBrain是谷歌最新的搜索和算法 SEO。 作為營銷人員，了解Rank Brain如何運作是排名靠前的關鍵。 在接受彭博社採訪時，谷歌表示RankBrain是 “第三重要因素” 當涉及到確定他們顯示的結果的順序時。 （另外兩個是內容和反向鏈接）。 你可以參考這篇：2019年Google上排名第一，11個在最有效的網站SEO技巧On-Page-SEO 🚀

在本文中，我想深入了解RankBrain，了解它的運作方式並提出策略 你的排名猛漲。 準備在自己的SEO網路行銷優化中擊敗谷歌？ 什麼是Google RankBrain SEO內容導覽： 1 什麼是RankBrain？ 1.1 但是RankBrain如何知道哪些指標與特定關鍵字相關？ 2 讓我們深入了解RankBrain的工作原理 3 RankBrain如何衡量用戶滿意度？ 4 Google如何排名搜索結果？ 5 如何定位RankBrain會喜歡的關鍵字 6 要擊敗RankBrain，優化中尾關鍵詞 7 結論

什麼是RankBrain？

Rank Brain是Google推出的一種算法，可以幫助它使用機器學習對結果頁面進行排序。 （機器學習是計算機根據他們遇到的數據學習和提取信息的一種方式，而不是明確聲明知識的編碼員。） 以前，Google搜索結果是由工程師手動調整的 基於他們認為有用的指標 （即CTR，停留時間或加載速度）。 現在，有了RankBrain， 谷歌正在讓人工智能自主調整其結果， 在飛行中。 例如，對於像“巧克力餅乾”這樣的特定關鍵字，RankBrain可能會認為反向鏈接不像評論那麼重要，因此它可以修改這些指標對SERP的重要性。 （搜索引擎結果頁面） 但是RankBrain如何知道哪些指標與特定關鍵字相關？ 它沒有。 Rankbrain通過實驗學習。 在Cookie示例之後，RankBrain調整各種SEO指標，直到找到導致最高客戶滿意度的公式（例如，可能是最低的跳出率）。 通過谷歌自己的實驗，他們發現RankBrain是 準確度提高10％ 比起谷歌自己的工程師來預測最佳展示頁面。 RankBrain現在 全球部署 在Google每秒接收的數百萬個搜索查詢中。 RankBrain是更大的Google Hummingbird算法的一部分。 根據谷歌機器學習部門的負責人傑夫迪恩，RankBrain影響實際排名“可能不是在每個查詢中，而是在很多查詢中”。

讓我們深入了解RankBrain的工作原理

正如我之前提到的，RankBrain經常組���SERP以找到特定搜索詞的最準確排名。 RankBrain使用 語義分析 了解您的查詢的全部內容。 這意味著RankBrain不再只關注關鍵字（和關鍵字密度），而是嘗試理解搜索背後的含義。 例如，如果我問“蘋果的第一個產品”，那麼RankBrain會產生以下準確的結果。 過去，將顯示關鍵字“第一”，“產品”和“蘋果”出現次數最多並且具有最大相關性的頁面。 如證據所示，Google更關心搜索的背景和含義。 為此，RankBrain將單詞分組為概念，並查找深入涵蓋這些概念的頁面。 它還考慮了用戶位置等問題。例如，如果您搜索“2018年世界杯位置”並且位於俄羅斯（世界杯主辦方），那麼它可能會顯示地圖方向。如果您位於美國，那麼它可能只顯示有關其所在城市的信息。 （繼續閱讀以了解這會如何影響RankBrain-first世界中的SEO關鍵字定位）

RankBrain如何衡量用戶滿意度？

Google的最終目標是向您展示最佳的網頁集，用戶滿意度是Google搜索的核心。 儘管谷歌尚未正式發布實際滿意度指標，但我們可以對這些指標做出假設。 如果我不得不猜測，那麼我會說RankBrain看： 有機點擊率（點擊率） 現場時間（又稱停留時間） 跳出率 域名管理員 Pogo Sticking（當您快速離開頁面並返回SERP時） 基於這些SEO因素，RankBrain不斷地翻頁，直到每個頁面都在SERP上獲得了應得的位置。 例如，讓我們說大多數人 點擊結果＃1， 跳過結果＃2和＃3， 然後點擊結果＃4，花費大量時間在＃1和＃4結果中。 RankBrain注意到這一點，並在下次有人搜索該關鍵字時給結果＃4一個提升。它也降低了結果＃2和＃3，因為它們沒有吸引力。 隨著Google收到數十億和數十億的關鍵字搜索，RankBrain擁有大量數據可供試驗並挑選明確的贏家。

Google如何排名搜索結果？

如前所述，結果按1）關鍵字相關性，2）反向鏈接數和3）Rankbrain排序。在本文中，我將更深入地探討如何達到SERP的頂端。

如何定位RankBrain會喜歡的關鍵字

似乎長尾關鍵字定位的日子已經過去了。 在當天，為不同但密切相關的長尾關鍵字創建內容是有意義的，例如： 學生最好的信用卡 最好的學生信用卡 並且為每個長尾變化專門優化每個頁面元標記。 如今，那 SEO技術已經死了。 為什麼？ 因為使用RankBrain概念搜索，長尾關鍵字現在被分組為概念而不是特定的措辭。上一個例子看起來像 （最佳，頂部） （學生，學院） （信用卡） 以及這些關鍵字的任何可能組合 導致幾乎相同的搜索結果。 因此，優化長尾關鍵詞在2018年不再有效。 那麼替代方案是什麼？

要擊敗RankBrain，優化中尾關鍵詞

與長尾關鍵字不同的是搜索量和競爭相當小，中尾關鍵字確實產生了大量的流量（從而產生了良好的競爭）。 它們處於幾乎不可能的廣泛關鍵詞之間的最佳位置，如“SEO”，而且過於狹窄，比如“如何免費進行自己的搜索”。 上述例子的中尾替代品將是“怎麼做seo“。 儘管該帖子對於“SEO”而言不會排名很高，但它對於大量的長尾變化將排名很高。 只要博客文章寫得很完美， 那是。 以下是使用RankBrain進行搜索引擎優化時會感興趣的其他文章： 有史以來最好的SEO技巧。期。 最佳 頁面SEO因素 RankBrain不想讓你知道 該 SEO工具 如果你認真對待排名，你需要使用 如何查找Rankbrain的關鍵字 額外獎勵：如何讓您的中尾關鍵詞變得更好 為了更好地幫助RankBrain了解您的博客文章的內容，您應該在整個文本中包含關鍵字的自然變體（稱為 LSI關鍵字）。 例如，如果您正在撰寫關於“ab exercise”的文章，您可以提及“ab crunches”，“核心練習”，“腹部鍛煉”等關鍵詞。 所有這些LSI關鍵字都有助於RankBrain輕鬆地關聯概念。 如果您認真對待有機交通，那麼您應該考慮其他11個頁面上的SEO因素。

結論

RankBrain是一個強大的算法，不斷調整自己，以提供基於的最佳結果 用戶意圖。 2019年的SEO需要RankBrain的知識。關鍵字定位不再是長尾遊戲，而是更深層次的背景戰鬥。 如果您喜歡這篇文章，請務必查看我的 SEO檔案。 如果您喜歡這篇文章也請發表評論。我做了大量的研究，這讓我知道有人讚賞它 注意事項： 1. Wphubs。的文章皆為網友分享之網路公開資訊，如果有侵權，歡迎來信，我們將會刪除內容！ 2. 我們不承擔任何技術和版權問題，沒有義務提供任何技術支持，我們不對上述行為承擔任何責任，並保留對法律免責的權利。 Read the full article

[expertdigitalmarketingthing-blog]

Google Rank Brain Algorithm: A Complete Guide To Google Machine Learning

Google Rank Brain or Machine Learning, has launched four years ago, and it sought to cover many languages. Google Rank brain update’s or Machine Learning, the intent was to help Google provide accurate results and improve the search experience for users.

Google Rank brain update or Machine Learning, has been a paradigm shift in the sense that prior to RB, Google’s engineers had to manually alter the mathematical algorithm(s) to adjust search results. The problem was such algorithm changes would stay static until the next update comes. Google Rank Brain algorithm uses machine learning with the capability to learn from data inputs to give best to search engine queries. Using machine learning google Rank Brain processes massive data that appear as written content by changing them into quantitative data such as mathematical entities or vectors that computers understand. Google’s integration of Google Rank Brain or Machine Learning to core algorithm has made search results reactive to real-world events beyond the algorithm update. To the question—“what is Google Rank Brain or Machine Learning” the answer is google Rank Brain internally interprets searchers intent using external factors such as location and history. After the intent is understood Google tries to give the most relevant results. Now let see how AI works via Google Rank Brian update or Machine Learning in handling a search query “dench”. The English term has three different meanings or contexts---a slang, a type of clothing, name of actress Judi Dench. So the term is ambiguous for the search engine as it does not know what exactly the user is looking for. So it seeks to analyze external factors including location.

What is Machine Learning?

The rising buzz on AIO (Artificial Intelligence Optimization) is also connected with the Google Rank Brain update. According to Arthur Samuel who defined machine learning in 1959, Machine learning is something that gives computers the ability to learn without prior programming. As an application of artificial intelligence, Machine learning helps computer systems to learn automatically and boost customer experience without asking to do so. In Machine Learning, user behaviour is paramount in deciding what works and what will not. Machine learning makes Google Rank Brain distinct from other updates. For better results, Google Rank Brain algorithm or Machine Learning takes data from a slew of sources. Cues from a variety of data sets improve results. Google Rank Brain uses a series of databases on people, places, and things to improve the answer to the search query. To process an unknown query, Google mathematically maps relationships and processes best results and related results. By analyzing recurring patterns and behaviors machines excel in predicting and delivering content and that matches the user intent almost 99 percent. Machine learning is already in use for spam email filtering, optical character recognition (OCR) and intruder detection.

How to optimize for Google Rank Brain or Machine Learning?

Google Rank Brain or Machine Learning SEO update impacts all existing concepts and practices of good SEO outlined by Google’s guidelines. SEO experts must know Google Rank brain SEO is different from Panda and Penguin. The former two are classic algorithms. To avoid Penguin penalties and applying Panda remedies there are some common methods. But Google Rank Brain or Machine Learning is totally different as an interpretation model and will not yield to readymade optimization formulae. According to Google’s Gary Illyes optimizing for Google Rank Brain or Machine Learning will show results when the content is written in a natural language that sounds more human and gives a better user experience. So, the way out to be friendly with Google Rank Brain or Machine Learning is making the text natural so that it is true to life and does not sound artificial.

Latest Google Rank Brain or Machine Learning update

On October 26, 2015, Google Rank Brain update had the formal launch after testing since April 2015. Google Rank Brain filters search results to give users the best answer to their query. After the latest Google Rank Brain update, the Google algorithm update joined the mainstream from the fringes after handling 15 percent of queries to started handling every query in Google.  .................................  

See More Related Articles

  How Digital Marketing Helps To Boost Your Business in 2019   Creative Ways to Instantly Experience a Boost in Your Traffic   5 Common SEO Mistakes in Content to be Avoided   15 Most Important SEO Hacks You Must Never Ignore For Your Website   Google RankBrain: The Complete Guide To Google Algorithm 2018   Google’s Mobile Index Makes Mobile Page Speed Critical in Higher Rankings and User Experience   International SEO fundamentals for multinational and multilingual websites   10 High-Tech Biggest SEO New Innovations In 2018   Top 15 Digital Marketing Tools and Key Benefits of Using Them 2018   Plagiarism Checker Tools: Top 20 Free Online Plagiarism Detector Tools in 2019 Read the full article

[techgydbysm]

Google RankBrain [2020]: Ultimate Guide Read more: https://bit.ly/3isFnZG #SEOGuide #googlerankbrain #GoogleRankbrain2020 #GoogleRankbrainalgorithm #guide #ultimateguide...

[thefuturix]

RT @iMariaJohnsen: #Google #RankBrain dans l’Optimisation des Moteurs de Recherche 🤓👆 https://t.co/EwlVO8InTq #marketingdigital #SEO #référencement #AI #bigdata #France #Canada #Monaco #Belgique #IntelligenceArtificielle #GoogleRankBrain #GoogleAI #Twitter https://t.co/2kxY83Fbxx http://twitter.com/ABelleguie/status/950019706689392641

[sualkmedeiors]

5 SEO Trends Digital Marketers Should Not Ignore in 2017

Anyone who has worked in the SEO field for a while would surely know that there is no fixed rule in the game. To consistently outperform your rival, it is necessary to master the trends as they come or be swept away into oblivion.

For 2017, here are the top 5 trends in SEO that will give your brand more visibility online:

Smarter AIs Could Change Algorithms

One of the major factors that could affect SEO in 2017 is, of course, the latest advancements in artificial intelligence technology. Everyone should expect the way search engines work to change as smarter AIs join the game.

Google users should expect changes on how the popular search engine does the work for them. In late 2016, Google RankBrain was unleashed, paving the way for the search engine to learn how people use the facility.

Learn how Google RankBrain works and how it affects your SEO! https://t.co/0SYUkir90u#RankBrain #SEO #googleSEO #googlerankbrain #seo2017

— Logo Born (@LogoBorn) August 8, 2017

The latest Hummingbird extension boasts of an algorithmic machine learning technology with the end goal of improving the search experience for users. According to Forbes, RankBrain enabled Google to learn how people use phrases in their queries and, with the information, update the search engine’s algorithm accordingly. Of course, this means that content providers must relearn things if necessary and adapt to the changing search landscape. The previous update left many webmasters grumbling when they found out that their articles hardly make it to the coveted “Top Stories” section anymore.

The rising popularity of digital assistants, such as Siri and Cortana, is also changing the way people make searches online. This means that with the increasing use of these intelligent digital assistants, advanced forms of conversational queries will increase, opening up another segment that companies could target.

AMP Gets Amped

While desktop computing won’t exactly disappear, search engine use is projected to see the most growth in the mobile segment. The Accelerated Mobile Pages (AMP) project protocol anticipates this trend and is in place to make content optimized for mobile browsing.

Pages running on AMP get loaded on mobiles devices four times faster than regular ones. In fact, Google favors AMP content. Since last February, Google has been marking AMP sites with a lightning bolt icon and featuring them more prominently in search results.

How to use Google AMP (Accelerated Mobile Pages) to Rank Better on Mobile https://t.co/Hsm5rIkZOR via @cognitiveSEO pic.twitter.com/cLLCfAFV8P

— SEMrush (@semrush) August 13, 2017

Going AMP would also benefit users in the long run. Pages load faster because it uses 8 times less data compared to a regular page. And of course, everyone knows that loading speed is a big factor in viewer retention.

Branding Goes Personal

Some industry watchers predict that personal branding is the way to go to be successful with your online campaign. Of course, that is not saying that you should do away with the corporate brand, but there are advantages when people within an organization tell their own stories. Think of personal branding as a way to complement a company’s SEO efforts and how it reaches out to its online customers.

Nowadays, corporations have to deal with being perceived by consumers as manipulative and greedy. Therefore, engaging consumers on a personal level is seen as the solution to diffuse this consumer wariness. By providing a personal identity that corporations naturally lack, personal branding makes it easier for consumers to trust the brand.

In addition, posting on a personal level amplifies the reach of a company. For instance, if a CEO of a company has three personal accounts on social media for this purpose, he is multiplying his corporate exposure as all of these accounts can grow their own follower base independently. In addition, these separate accounts can be used to target different segments of the market, which could result in a more customized posting that could potentially increase engagement.

UEO Meets SEO

Another important trend to watch out for is the rising importance of UEO in SEO. In fact, there are indications that user experience optimization (UEO) is going to become more important in SEO rankings.

Is your mobile user experience helping you or holding you back? https://t.co/JqUeBG76K7 via @Marketingland #mobile #marketing #optimization pic.twitter.com/eztdwH7l3w

— visiblefactors (@visiblefactors) August 11, 2017

Google is now giving hints that it may give more weight to user experience in its search result. One such hint is that the search engine giant seems to favor pages that load quickly with its preference for AMP content.

If the trend continues, the next step would be for Google to favor pages that offer a more enjoyable user experience. One metric that could come into play is the length of time a visitor stays on a page– staying a long time usually means that the visitor enjoys the content. While user experience has been an important metric in ranking pages for some time now, it looks like it's going to become even more important in future versions of the search algorithm. The bottom line is that webmasters should post quality content in well-designed sites that most people will enjoy.

Content Gets Denser

Speaking of content, there is another trend that experts are predicting– the rise of denser content. According to Smart Insights, there was a time when tons of brief but “fluffy” content-wise posts sufficed, which was eventually replaced by lengthy, seemingly complicated content to rank in SEO. However, those two extremes are now being replaced by what is referred to as Dense Content.

Simply put, Dense Content is when one offers tons of information using the smallest space possible. Of course, this presents an entirely new challenge which would definitely involve some spark of creativity and the flair for creating stunning visuals. But of course, the challenge is what makes SEO very interesting.

[Featured Image by Pixabay]

The post 5 SEO Trends Digital Marketers Should Not Ignore in 2017 appeared first on WebProNews.

from http://www.webpronews.com/5-seo-trends-digital-marketers-not-ignore-2017-2017-08/

[nefdigital]

Google RankBrain – Cách thức hoạt động quyết định đến chiến lược SEO

Bạn là SEOer? Bạn đã biết về Google RankBrain? Cách thức hoạt động của thuật toán này sẽ ảnh hưởng đến chiến lược SEO của bạn như thế nào?

Nội dung bài viết dưới đây được chia sẻ bởi Nef Digital – một đơn vị về dịch vụ SEO uy tín chất lượng hàng đầu tại Việt Nam.

Xem thêm: https://videobuy.vn/google-rankbrain/

[wphubs]

【2019年必看】什麼是Google RankBrain SEO以及它如何影響您的排名優化？

在2015年末宣布，RankBrain是谷歌最新的搜索和算法 SEO。 作為營銷人員，了解Rank Brain如何運作是排名靠前的關鍵。 在接受彭博社採訪時，谷歌表示RankBrain是 “第三重要因素” 當涉及到確定他們顯示的結果的順序時。 （另外兩個是內容和反向鏈接）。 你可以參考這篇：2019年Google上排名第一，11個在最有效的網站SEO技巧On-Page-SEO 🚀

在本文中，我想深入了解RankBrain，了解它的運作方式並提出策略 你的排名猛漲。 準備在自己的SEO網路行銷優化中擊敗谷歌？ 什麼是Google RankBrain SEO內容導覽： 1 什麼是RankBrain？ 1.1 但是RankBrain如何知道哪些指標與特定關鍵字相關？ 2 讓我們深入了解RankBrain的工作原理 3 RankBrain如何衡量用戶滿意度？ 4 Google如何排名搜索結果？ 5 如何定位RankBrain會喜歡的關鍵字 6 要擊敗RankBrain，優化中尾關鍵詞 7 結論

什麼是RankBrain？

Rank Brain是Google推出的一種算法，可以幫助它使用機器學習對結果頁面進行排序。 （機器學習是計算機根據他們遇到的數據學習和提取信息的一種方式，而不是明確聲明知識的編碼員。） 以前，Google搜索結果是由工程師手動調整的 基於他們認為有用的指標 （即CTR，停留時間或加載速度）。 現在，有了RankBrain， 谷歌正在讓人工智能自主調整其結果， 在飛行中。 例如，對於像“巧克力餅乾”這樣的特定關鍵字，RankBrain可能會認為反向鏈接不像評論那麼重要，因此它可以修改這些指標對SERP的重要性。 （搜索引擎結果頁面） 但是RankBrain如何知道哪些指標與特定關鍵字相關？ 它沒有。 Rankbrain通過實驗學習。 在Cookie示例之後，RankBrain調整各種SEO指標，直到找到導致最高客戶滿意度的公式（例如，可能是最低的跳出率）。 通過谷歌自己的實驗，他們發現RankBrain是 準確度提高10％ 比起谷歌自己的工程師來預測最佳展示頁面。 RankBrain現在 全球部署 在Google每秒接收的數百萬個搜索查詢中。 RankBrain是更大的Google Hummingbird算法的一部分。 根據谷歌機器學習部門的負責人傑夫迪恩，RankBrain影響實際排名“可能不是在每個查詢中，而是在很多查詢中”。

讓我們深入了解RankBrain的工作原理

正如我之前提到的，RankBrain經常組織SERP以找到特定搜索詞的最準確排名。 RankBrain使用 語義分析 了解您的查詢的全部內容。 這意味著RankBrain不再只關注關鍵字（和關鍵字密度），而是嘗試理解搜索背後的含義。 例如，如果我問“蘋果的第一個產品”，那麼RankBrain會產生以下準確的結果。 過去，將顯示關鍵字“第一”，“產品”和“蘋果”出現次數最多並且具有最大相關性的頁面。 如證據所示，Google更關心搜索的背景和含義。 為此，RankBrain將單詞分組為概念，並查找深入涵蓋這些概念的頁面。 它還考慮了用戶位置等問題。例如，如果您搜索“2018年世界杯位置”並且位於俄羅斯（世界杯主辦方），那麼它可能會顯示地圖方向。如果您位於美國，那麼它可能只顯示有關其所在城市的信息。 （繼續閱讀以了解這會如何影響RankBrain-first世界中的SEO關鍵字定位）

RankBrain如何衡量用戶滿意度？

Google的最終目標是向您展示最佳的網頁集，用戶滿意度是Google搜索的核心。 儘管谷歌尚未正式發布實際滿意度指標，但我們可以對這些指標做出假設。 如果我不得不猜測，那麼我會說RankBrain看： 有機點擊率（點擊率） 現場時間（又稱停留時間） 跳出率 域名管理員 Pogo Sticking（當您快速離開頁面並返回SERP時） 基於這些SEO因素，RankBrain不斷地翻頁，直到每個頁面都在SERP上獲得了應得的位置。 例如，讓我們說大多數人 點擊結果＃1， 跳過結果＃2和＃3， 然後點擊結果＃4，花費大量時間在＃1和＃4結果中。 RankBrain注意到這一點，並在下次有人搜索該關鍵字時給結果＃4一個提升。它也降低了結果＃2和＃3，因為它們沒有吸引力。 隨著Google收到數十億和數十億的關鍵字搜索，RankBrain擁有大量數據可供試驗並挑選明確的贏家。

Google如何排名搜索結果？

如前所述，結果按1）關鍵字相關性，2）反向鏈接數和3）Rankbrain排序。在本文中，我將更深入地探討如何達到SERP的頂端。

如何定位RankBrain會喜歡的關鍵字

似乎長尾關鍵字定位的日子已經過去了。 在當天，為不同但密切相關的長尾關鍵字創建內容是有意義的，例如： 學生最好的信用卡 最好的學生信用卡 並且為每個長尾變化專門優化每個頁面元標記。 如今，那 SEO技術已經死了。 為什麼？ 因為使用RankBrain概念搜索，長尾關鍵字現在被分組為概念而不是特定的措辭。上一個例子看起來像 （最佳，頂部） （學生，學院） （信用卡） 以及這些關鍵字的任何可能組合 導致幾乎相同的搜索結果。 因此，優化長尾關鍵詞在2018年不再有效。 那麼替代方案是什麼？

要擊敗RankBrain，優化中尾關鍵詞

與長尾關鍵字不同的是搜索量和競爭相當小，中尾關鍵字確實產生了大量的流量（從而產生了良好的競爭）。 它們處於幾乎不可能的廣泛關鍵詞之間的最佳位置，如“SEO”，而且過於狹窄，比如“如何免費進行自己的搜索”。 上述例子的中尾替代品將是“怎麼做seo“。 儘管該帖子對於“SEO”而言不會排名很高，但它對於大量的長尾變化將排名很高。 只要博客文章寫得很完美， 那是。 以下是使用RankBrain進行搜索引擎優化時會感興趣的其他文章： 有史以來最好的SEO技巧。期。 最佳 頁面SEO因素 RankBrain不想讓你知道 該 SEO工具 如果你認真對待排名，你需要使用 如何查找Rankbrain的關鍵字 額外獎勵：如何讓您的中尾關鍵詞變得更好 為了更好地幫助RankBrain了解您的博客文章的內容，您應該在整個文本中包含關鍵字的自然變體（稱為 LSI關鍵字）。 例如，如果您正在撰寫關於“ab exercise”的文章，您可以提及“ab crunches”，“核心練習”，“腹部鍛煉”等關鍵詞。 所有這些LSI關鍵字都有助於RankBrain輕鬆地關聯概念。 如果您認真對待有機交通，那麼您應該考慮其他11個頁面上的SEO因素。

結論

RankBrain是一個強大的算法，不斷調整自己，以提供基於的最佳結果 用戶意圖。 2019年的SEO需要RankBrain的知識。關鍵字定位不再是長尾遊戲，而是更深層次的背景戰鬥。 如果您喜歡這篇文章，請務必查看我的 SEO檔案。 如果您喜歡這篇文章也請發表評論。我做了大量的研究，這讓我知道有人讚賞它 注意事項： 1. Wphubs。的文章皆為網友分享之網路公開資訊，如果有侵權，歡迎來信，我們將會刪除內容！ 2. 我們不承擔任何技術和版權問題，沒有義務提供任何技術支持，我們不對上述行為承擔任何責任，並保留對法律免責的權利。 Read the full article

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Google Rank Brain Algorithm: A Complete Guide To Google Machine Learning

Google Rank Brain or Machine Learning, has launched four years ago, and it sought to cover many languages. Google Rank brain update’s or Machine Learning, the intent was to help Google provide accurate results and improve the search experience for users.

Google Rank brain update or Machine Learning, has been a paradigm shift in the sense that prior to RB, Google’s engineers had to manually alter the mathematical algorithm(s) to adjust search results. The problem was such algorithm changes would stay static until the next update comes. Google Rank Brain algorithm uses machine learning with the capability to learn from data inputs to give best to search engine queries. Using machine learning google Rank Brain processes massive data that appear as written content by changing them into quantitative data such as mathematical entities or vectors that computers understand. Google’s integration of Google Rank Brain or Machine Learning to core algorithm has made search results reactive to real-world events beyond the algorithm update. To the question—“what is Google Rank Brain or Machine Learning” the answer is google Rank Brain internally interprets searchers intent using external factors such as location and history. After the intent is understood Google tries to give the most relevant results. Now let see how AI works via Google Rank Brian update or Machine Learning in handling a search query “dench”. The English term has three different meanings or contexts---a slang, a type of clothing, name of actress Judi Dench. So the term is ambiguous for the search engine as it does not know what exactly the user is looking for. So it seeks to analyze external factors including location.

What is Machine Learning?

The rising buzz on AIO (Artificial Intelligence Optimization) is also connected with the Google Rank Brain update. According to Arthur Samuel who defined machine learning in 1959, Machine learning is something that gives computers the ability to learn without prior programming. As an application of artificial intelligence, Machine learning helps computer systems to learn automatically and boost customer experience without asking to do so. In Machine Learning, user behaviour is paramount in deciding what works and what will not. Machine learning makes Google Rank Brain distinct from other updates. For better results, Google Rank Brain algorithm or Machine Learning takes data from a slew of sources. Cues from a variety of data sets improve results. Google Rank Brain uses a series of databases on people, places, and things to improve the answer to the search query. To process an unknown query, Google mathematically maps relationships and processes best results and related results. By analyzing recurring patterns and behaviors machines excel in predicting and delivering content and that matches the user intent almost 99 percent. Machine learning is already in use for spam email filtering, optical character recognition (OCR) and intruder detection.

How to optimize for Google Rank Brain or Machine Learning?

Google Rank Brain or Machine Learning SEO update impacts all existing concepts and practices of good SEO outlined by Google’s guidelines. SEO experts must know Google Rank brain SEO is different from Panda and Penguin. The former two are classic algorithms. To avoid Penguin penalties and applying Panda remedies there are some common methods. But Google Rank Brain or Machine Learning is totally different as an interpretation model and will not yield to readymade optimization formulae. According to Google’s Gary Illyes optimizing for Google Rank Brain or Machine Learning will show results when the content is written in a natural language that sounds more human and gives a better user experience. So, the way out to be friendly with Google Rank Brain or Machine Learning is making the text natural so that it is true to life and does not sound artificial.

Latest Google Rank Brain or Machine Learning update

On October 26, 2015, Google Rank Brain update had the formal launch after testing since April 2015. Google Rank Brain filters search results to give users the best answer to their query. After the latest Google Rank Brain update, the Google algorithm update joined the mainstream from the fringes after handling 15 percent of queries to started handling every query in Google.  .................................  

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Bài viết dưới đây sẽ chia sẻ thông tin cho bạn bởi Nef Digital – một đơn vị uy tín chất lượng hàng đầu về dịch vụ SEO tại Việt Nam.

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Bạn là SEOer? Bạn không muốn các kỹ thu��t SEO của mình bị lỗi thời, lạc hậu thì bạn cần phải biết Google RankBrain là gì? Cách hoạt động của nó ra sao?

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