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If RankBrain sees a word or phrase it isn’t familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries or keywords.<ref>{{cite web|title=Google Turning Its Lucrative Web Search Over to AI Machines |url=http://news.surgogroup.com/google-turning-lucrative-web-search-ai-machines/|website=Surgo Group News|accessdate=5 November 2015}}</ref> [[Web search query|Search queries]] are sorted into word vectors, also known as “distributed representations,” which are close to each other in terms of linguistic similarity. RankBrain attempts to map this query into words (entities) or clusters of words that have the best chance of matching it. Therefore, RankBrain attempts to guess what people mean and records the results, which adapts the results to provide better user satisfaction.<ref>{{Cite news|url=http://thenextweb.com/artificial-intelligence/2016/09/02/machine-learning-just-got-more-human-with-googles-rankbrain/|title=Machine learning just got more human with Google's RankBrain|last=Capala|first=Matthew|date=2016-09-02|newspaper=The Next Web|language=en-US|access-date=2017-01-19}}</ref> |
If RankBrain sees a word or phrase it isn’t familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries or keywords.<ref>{{cite web|title=Google Turning Its Lucrative Web Search Over to AI Machines |url=http://news.surgogroup.com/google-turning-lucrative-web-search-ai-machines/|website=Surgo Group News|accessdate=5 November 2015}}</ref> [[Web search query|Search queries]] are sorted into word vectors, also known as “distributed representations,” which are close to each other in terms of linguistic similarity. RankBrain attempts to map this query into words (entities) or clusters of words that have the best chance of matching it. Therefore, RankBrain attempts to guess what people mean and records the results, which adapts the results to provide better user satisfaction.<ref>{{Cite news|url=http://thenextweb.com/artificial-intelligence/2016/09/02/machine-learning-just-got-more-human-with-googles-rankbrain/|title=Machine learning just got more human with Google's RankBrain|last=Capala|first=Matthew|date=2016-09-02|newspaper=The Next Web|language=en-US|access-date=2017-01-19}}</ref> |
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There are over 200 different ranking factors<ref>{{Cite web|url=http://backlinko.com/google-ranking-factors|title=Google’s 200 Ranking Factors: The Complete List|date=2013-04-18|website=Backlinko (Brian Dean)|language=en-US|access-date=2016-04-12}}</ref> which make up the ranking algorithm, whose exact functions in the [[Google algorithm]] are not fully disclosed. Behind content & links, RankBrain is considered the third most important signal in determining ranking on Google search.<ref>{{Cite news|url=http://searchengineland.com/now-know-googles-top-three-search-ranking-factors-245882|title=Now we know: Here are Google's top 3 search ranking factors|date=2016-03-24|work=Search Engine Land|access-date=2017-04-14|language=en-US}}</ref> <ref>{{Cite news|url=http://searchengineland.com/google-loves-rankbrain-uses-for-every-search-252526|title=Google uses RankBrain for every search, impacts rankings of "lots" of them|date=2016-06-23|work=Search Engine Land|access-date=2017-04-14|language=en-US}}</ref> Although Google has not admitted to any order of importance, only that Rankbrain is one of the three most important of its search ranking signals.<ref>{{Cite news|url=https://www.searchenginejournal.com/google-names-top-three-ranking-signals/160444/|title=Google Releases the Top 3 Ranking Factors {{!}} SEJ|date=2016-03-25|work=Search Engine Journal|access-date=2017-04-14|language=en-US}}</ref> When offline, RankBrain is given batches of past searches and learns by matching search results. Once RankBrain's results are verified by [[Google]]'s team the system is updated and goes live again.<ref>{{cite web|last1=Sullivan|first1=Danny|title=FAQ: All About The New Google RankBrain Algorithm|url=http://searchengineland.com/faq-all-about-the-new-google-rankbrain-algorithm-234440?utm_campaign=socialflow&utm_source=facebook&utm_medium=social|website=Search Engine Land|accessdate=28 October 2015}}</ref> |
There are over 200 different ranking factors<ref>{{Cite web|url=http://backlinko.com/google-ranking-factors|title=Google’s 200 Ranking Factors: The Complete List|date=2013-04-18|website=Backlinko (Brian Dean)|language=en-US|access-date=2016-04-12}}</ref> which make up the ranking algorithm, whose exact functions in the [[Google algorithm]] are not fully disclosed. Behind content & links, RankBrain is considered the third most important signal in determining ranking on Google search.<ref>{{Cite news|url=http://searchengineland.com/now-know-googles-top-three-search-ranking-factors-245882|title=Now we know: Here are Google's top 3 search ranking factors|date=2016-03-24|work=Search Engine Land|access-date=2017-04-14|language=en-US}}</ref> <ref>{{Cite news|url=http://searchengineland.com/google-loves-rankbrain-uses-for-every-search-252526|title=Google uses RankBrain for every search, impacts rankings of "lots" of them|date=2016-06-23|work=Search Engine Land|access-date=2017-04-14|language=en-US}}</ref> Although Google has not admitted to any order of importance, only that Rankbrain is one of the three most important of its search ranking signals.<ref>{{Cite news|url=https://www.searchenginejournal.com/google-names-top-three-ranking-signals/160444/|title=Google Releases the Top 3 Ranking Factors {{!}} SEJ|date=2016-03-25|work=Search Engine Journal|access-date=2017-04-14|language=en-US}}</ref> When offline, RankBrain is given batches of past searches and learns by matching search results.studies showed how RankBrain better interpreted the relationships between words.This can include the use of stop words in a search query (“the,” “and,” without,” etc) — words that were historically ignored previously by Google but are sometimes of a major importance to fully understanding the meaning or intent behind a person’s search query. It’s also able to parse patterns between searches that are seemingly unconnected, to understand how those searches are similar to each other.<ref>{{Cite news|url=https://thenextweb.com/contributors/2017/05/22/real-impact-googles-rankbrain-search-traffic/#.tnw_nYDXqPTo|title=The real impact of Google’s RankBrain on search traffic|newspaper=The Next Web|language=en|access-date=2017-05-22}}</ref> |
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Once RankBrain's results are verified by [[Google]]'s team the system is updated and goes live again.<ref>{{cite web|last1=Sullivan|first1=Danny|title=FAQ: All About The New Google RankBrain Algorithm|url=http://searchengineland.com/faq-all-about-the-new-google-rankbrain-algorithm-234440?utm_campaign=socialflow&utm_source=facebook&utm_medium=social|website=Search Engine Land|accessdate=28 October 2015}}</ref> |
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Google has stated that it uses [[Tensor processing unit]] [[Application-specific integrated circuit|ASICs]] for processing RankBrain requests.<ref>{{Cite news|url=http://www.pcworld.com/article/3072256/google-io/googles-tensor-processing-unit-said-to-advance-moores-law-seven-years-into-the-future.html|title=Google's Tensor Processing Unit could advance Moore's Law 7 years into the future|newspaper=PCWorld|language=en|access-date=2017-01-19}}</ref> |
Google has stated that it uses [[Tensor processing unit]] [[Application-specific integrated circuit|ASICs]] for processing RankBrain requests.<ref>{{Cite news|url=http://www.pcworld.com/article/3072256/google-io/googles-tensor-processing-unit-said-to-advance-moores-law-seven-years-into-the-future.html|title=Google's Tensor Processing Unit could advance Moore's Law 7 years into the future|newspaper=PCWorld|language=en|access-date=2017-01-19}}</ref> |
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Revision as of 19:31, 23 May 2017
RankBrain is an algorithm learning artificial intelligence system, the use of which by Google was confirmed on 26 October 2015. In 2015, "RankBrain was used for less than 15% of queries." [1] It helps Google to process search results and provide more relevant search results for users.[2] In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm along with links and content.[2]
If RankBrain sees a word or phrase it isn’t familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries or keywords.[3] Search queries are sorted into word vectors, also known as “distributed representations,” which are close to each other in terms of linguistic similarity. RankBrain attempts to map this query into words (entities) or clusters of words that have the best chance of matching it. Therefore, RankBrain attempts to guess what people mean and records the results, which adapts the results to provide better user satisfaction.[4]
There are over 200 different ranking factors[5] which make up the ranking algorithm, whose exact functions in the Google algorithm are not fully disclosed. Behind content & links, RankBrain is considered the third most important signal in determining ranking on Google search.[6] [7] Although Google has not admitted to any order of importance, only that Rankbrain is one of the three most important of its search ranking signals.[8] When offline, RankBrain is given batches of past searches and learns by matching search results.studies showed how RankBrain better interpreted the relationships between words.This can include the use of stop words in a search query (“the,” “and,” without,” etc) — words that were historically ignored previously by Google but are sometimes of a major importance to fully understanding the meaning or intent behind a person’s search query. It’s also able to parse patterns between searches that are seemingly unconnected, to understand how those searches are similar to each other.[9]
Once RankBrain's results are verified by Google's team the system is updated and goes live again.[10]
Google has stated that it uses Tensor processing unit ASICs for processing RankBrain requests.[11]
References
- ^ "Google uses RankBrain for every search, impacts rankings of "lots" of them". Search Engine Land. 2016-06-23. Retrieved 2017-04-14.
- ^ a b Clark, Jack. "Google Turning Its Lucrative Web Search Over to AI Machines". Bloomberg Business. Bloomberg. Retrieved 28 October 2015.
- ^ "Google Turning Its Lucrative Web Search Over to AI Machines". Surgo Group News. Retrieved 5 November 2015.
- ^ Capala, Matthew (2016-09-02). "Machine learning just got more human with Google's RankBrain". The Next Web. Retrieved 2017-01-19.
- ^ "Google's 200 Ranking Factors: The Complete List". Backlinko (Brian Dean). 2013-04-18. Retrieved 2016-04-12.
- ^ "Now we know: Here are Google's top 3 search ranking factors". Search Engine Land. 2016-03-24. Retrieved 2017-04-14.
- ^ "Google uses RankBrain for every search, impacts rankings of "lots" of them". Search Engine Land. 2016-06-23. Retrieved 2017-04-14.
- ^ "Google Releases the Top 3 Ranking Factors | SEJ". Search Engine Journal. 2016-03-25. Retrieved 2017-04-14.
- ^ "The real impact of Google's RankBrain on search traffic". The Next Web. Retrieved 2017-05-22.
- ^ Sullivan, Danny. "FAQ: All About The New Google RankBrain Algorithm". Search Engine Land. Retrieved 28 October 2015.
- ^ "Google's Tensor Processing Unit could advance Moore's Law 7 years into the future". PCWorld. Retrieved 2017-01-19.