Category: Artificial Intelligence


At present, many people are started to use internet and technology were highly useful for people. Nowadays, internet became a part of everyone’s life and anyone want to know about anything then they will get connected to the internet and make use of search engine to search about their query. Many search engines were available among that one of the topmost search engine which is being used globally is Google. When you enter the query in the search area of the Google it will return the relevant results according to the ranking of the webpages. Once typed the query in search area and click on search the results will get loaded in seconds whereas this action seems to be look very simple but there is a complex functioning were behind this to take place. The searches functioning of Google were work based on the search algorithm which is known as Hummingbird. Hummingbird is the overall search algorithm of Google as it is encompasses of various parts among that RankBrain is one of the newest.

Google RankBrain is the core algorithm that makes use of machine-learning for determining the most appropriate results of the search engine queries. It is the only live artificial intelligence which Google is being used in their search results. Pre-RankBrain, Google make use of the basic algorithm for identifying the results of the given query. Post-RankBrain algorithm made more advancement in search results, when the query entered it goes through an interpretation model which apply possible factors such as location of the user, personalization and the words of the query for discovering the user’s exact solution. Through using this Google algorithm one can able to deliver more relevant results of the query.

RankBrain’s machine learning aspect makes to look vary from other updates. In order to “teach” the RankBrain algorithm for producing useful results at first Google “feeds” it data from variety of sources. Then the algorithm utilizes and takes it from there, calculating and teaching by self over time for matching the variety of signals with the variety of results. Also for ordering the search engine rankings according to the calculations made and this how the RankBrain algorithm functions.

An overview about the RankBrain Algorithm

  • Google RankBrain is a machine learning (AI) algorithm, Google make use of it for sorting the search results.
  • This algorithm assists Google well on processing and understanding the search queries.
  • This algorithm went online in April 2015 and in October 2015 it has been introduced to the world.
  • RankBrain is a part of wider Hummingbird algorithm which does not replace it and at the same time it will not operate independently.
  • Before the introduction of RankBrain all Google’s algorithm were hand-coded which requires engineers to work on the algorithm whereas now RankBrain also doing this in the background.
  • RankBrain modifies the algorithm on its own.
  • It is being the third most important signal which is providing to the result of a search query.
  • RankBrain is not a Natural Language Processor (NLP) as it wants a database of contacts and vectors of known contacts between same queries in order to get back the best guess.
  • When the queries are not understood inference will occur yet the results returned will be based on the data.

RankBrain algorithm seems to be more effective

RankBrain makes use of artificial intelligence for embedding huge amounts of written language into mathematical entities which is known as vectors and this can be understand by the computer. When the RankBrain looks a word or phrase that is not familiar then the machine looks for the similar meaning and returns by filtering the results accordingly. This makes the algorithm to be more effective on handling search queries as not seen before.

Working of the RankBrain algorithm

RankBrain uses so-called entities, as it makes use of a series of databases based on people, places, and things which Google knows for seeding the algorithm and their machine learning processes. After that the words (queries) will be conked out into word vectors for using a numerical method to assign those terms an “address” whereas the same words distribute the same “addresses.” At the time when Google processes an unfamiliar query then RankBrain makes use of the numerical mapped out the contacts for assuming a best fit based on the query and it gives multiple results that were related to it. Over time Google filters the results according to the user interaction and machine learning for improving the match between users search object and the search results which were returned by Google. In RankBrain’s analysis words such as “and” or “the” that search engines used to throw were not present in this. It is mainly meant to assist in better understanding of queries for delivering best search results, especially for negative-oriented queries, like queries making use of words such as “without” or “not.”

  • The textual contents of search queries were converted into word vectors by RankBrain which is known as ‘distributed representations’.
  • In mathematical space, each of the distributed representations gets a unique coordinate address. In this space vectors that were close to each other has linguistic similarity.
  • In RankBrain, words get assigned a mathematical address and they were retrieved based on the query and it locates in the best fit vector whereas these word “interpretations” are used to return results.

RankBrain the important Ranking Signal

RankBrain is known as the third most significant ranking indications of Google which determines the results that appear in the search queries. Among the complete mix of hundreds of signals RankBrain is one that gets into an algorithm which decides what results needs to be appear on the Google search page and where they are ranked. This made much prediction in the search industry as the system directly assesses the quality of content and websites and rank them based on it. Ranking signals impact the search results of the given query by including the personal or contextual factors like user’s search history and location to produce relevant results. As RankBrain is being a ranking signal it impacts the type of content which is selected after that ranked by the wider Hummingbird algorithm.

  • The key consideration of RankBrain as ranking signal that it acts to filter the result according to the query with including certain factors.
  • RankBrain is only speculation in this point of time.
  • It is being a method of processing search queries in a way that produces a “best fit” for the queries which were unknown to Google.
  • RankBrain brings the most relevant results of the query as they were a processing algorithm that makes use of machine learning in order to bring back the best match for the query when they are not sure about what that query “means”.
  • RankBrain has little influence when Google sure about the query meaning. The necessity of RankBrain occurs when Google not sure about queries meaning as it can be helped only by RankBrain.
  • Initially, RankBrain present in about 15% of Google queries later has been expanded and involved in almost all queries entered in Google.
  • RankBrain impacts queries in all languages and all countries. It plays a major role when the query is unique and unknown.

Two ways for optimizing RankBrain

RankBrain is being the third most important ranking factor plays a vital role in how search engines filter content. This influences the search engine optimization which impacts the businesses and marketers yet there are two ways to optimize it are Research the intent behind every keyword and … Keep Reading


ai in search engines

At present, the internet becomes a mandatory thing for people and it becomes a necessity to do their day today work. On other hand, almost all business sectors make use of internet and some business mainly works on basis of internet only. Likewise, internet is widely used when it comes to business sectors and they use several things in internet basis among all search engines is consider to be essential one for all business and incredible for all people. Many of them would wonder while searching their favorite things in google or any other platform they can notice when they type some keywords a list of options related to keywords would be pop up onto the home screen. Some may think that is magic but in real facts the search engine has secured path to use entire internet and search all relevant contents to the keyword you typed. Many can think how it is possible for search engines to find all relevant things of keywords? It is not that much simple the search engines are nothing but a bunch of algorithm derived from different ideas from brilliant people. Even then there arises a question how come a bunch of algorithm can do all these functions and pop out the results? The answer simple all search engine algorithm uses artificial intelligence for searching content related to keywords given by people.

How Does a Search Engine Optimize the Result for People?

All search engines uses AI that is Artificial Intelligence mainly to have aggressive web searching on specified keyword given by people. Moreover the AI is not only used for searching content based on the keywords rather there are several sub internal process are undergoing in fraction of seconds in algorithm. Were the searched contents are separated based on several category such as

  • Quality
  • Priority
  • Keyword analysis percent

Quality: In general the search engine algorithm keeps on updating thus when people do search based on keyword using Artificial intelligence the web search is done. Once all the content is searched it looks for high quality and display them based on high quality.

Moreover, this made a big thing in back days and many SEO owning business specialists tried to beat the system by using black hat SEO techniques and which made their pages to appear as a top results whenever the desired keyword searched. This technique is preferred because in real facts the search pages resulted in the top is with high quality which is widely preferred by most of the people.

Priority: When the searched contents are segregated based on the quality it is displayed with priority too. Were the searched contents are displayed from high priority basis to low priority spam contents. This makes people to get all keyword related contents as result.

Keyword analysis percent: In this process there are certain cases keyword does not match but the content would be displayed in the result and it is mainly because while doing keyword analysis the content in that page would be matching with the meaning of the search or any of the keyword thus the page would be resulted.

Likewise Search Engine uses Artificial Intelligence in greater extent to deliver results and on other hand it also keeps on updating based on recent algorithm updates.

Impact of Artificial intelligence using in Search engines:

Initially AI is used by Search engines to improve the algorithm search using keywords but in recent days the artificial intelligences has created its revolution in search engines too. Thus the impact of this revolution is high and lead to several benefits to people also to make clear enough here are some of factors are listed below.

  • Keyword target
  • Predict human
  • Understand the need
  • Real time data

Keyword target:

The technology is keep on updating thus there are frequent invention in Artificial Intelligence too. Previously people use search engines with texts and keywords and at present people have many options to search in search engine such as voice search in google which is one among them. This helps a lot to search engines to know how human search in the website.

Predict human:

Once the search engine know how human search on web, they started to predict what would be the next move of a human in searching and try to deliver that before. The main thing behind this is to grasp the attention of the user by providing them what they need. To be more clear if the user search for any movie or a game the first result would be Wikipedia which holds entire history about story, characters, platform, gameplay and developer all these makes the use to stay with the page for maximum time this helps the search engine to update themselves in frequent manner.

Understand the need:

As the search engine predicted the user action earlier it starts and understand the need of the user and deliver results based on that. That is when the user search for purchasing and failed to get then search engine would give results based on previous search too this would create curiosity in user and tends the user to go with previous decision which makes them to complete their purchase and fulfill their need.

Real time data:

As search engines understand the user need and display contents based on that it also increases the purchases too which in turn increases the ROI in real time data.

Likewise, the Artificial intelligence usage in search engines changes them to analyze the content and get interrupted with one another to deliver better search results for the users. Moreover the algorithm is keep on updating the search engines also includes NLC and images similar to keywords. Since artificial intelligence is inventory there are no benefits of black hat SEO techniques in search engines. Thus when a search engine need to provide all needs of the user then it is more necessary to keep on improving the algorithm based on revolution only that can fulfill the user search and gives a better result.

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