Google Algorithm: Working and time to time updates
Google Algorithm
What is meant by Google Algorithm?
Google's algorithms are a complex system used to obtain data from its search index and instantly provide the most appropriate results for the queries asked by the user. The search engine uses a combination of algorithms and numerous ranking signals to produce webpages that are ranked by its relevance on the search engine result pages (SERPs).
Working of Google Algorithms- Google's algorithm does the work for you by means of searching out Web pages that include the keywords you used to search, then assigning a rank to every page primarily based on several factors, which includes how often the key phrases appear in the page. Google references this index when a person enters a question or any search query.
The purpose of updating Google Algorithms from time to time- Google introduces several updates in its algorithm and changes its structure from time to time so that they provide a better experience to the user. Google strives to exhibit the best search results for the queries put forth by the users in the search engine. Therefore, this is the core purpose of updating its algorithms frequently since lagging behind is not an option, atleast not for Google.
Major Google Algorithm Updates
- Panda
- Penguin
- Hummingbird
- Pigeon
- Mobile
- RankBrain
- Possum
- Fred
- Core Updates
Social Media Signals- Its an update introduced by Google in 2010. When a website, article or blogpost is shared in social media platforms like Facebook, Twitter etc., the ranking of those webpages would go up. Google introduced such a change in their algorithm because the year 2010 had paved way for the prominent emergence of several social media platforms. Majority of the internet users spent most of their time on social media platforms, so therefore Google made social media too a criteria that influence ranking. Hence, webpages shared in social media got better ranking.
Panda Update
Google brought changes in its search engine algorithm to improve the quality of their search results and thereby earn the trust of the people. Google introduced strong updates for the same, also keeping the spammers in mind. A team with the ability to resist the spamming activities was formed under the guidance of Matthew Cutts (Matt Cutts).
In February 2011, Google introduced Panda update, which is a search filter meant to stop sites with poor quality content from working their way into Google's top search results. This update helped Google to exclude all the poor content websites/webpages from showing up in the search engine results. Panda update effectively tackled content spamming. Content duplication, thin pages, plagiarism, content spinning, spelling mistakes, meaningless contents etc., were identified by Google as "poor quality content" and it prevented those webpages from being displayed in the top search engine results.
Since the update removed the pages of content spamming, the users were now forced to create quality content in order to post in Google so that the update doesn't remove their content from the search engine results. Panda update therefore improved the search engine result quality.
Penguin Update
Google launched the Penguin update in April 2012 to better catch sites deemed to be spamming its search results, particularly those doing so by buying or obtaining links through link networks designed primarily to boost Google rankings. This update was against link spamming. Web masters used several link spamming techniques like exchange of links between sites, build poor quality links, link farming, create links automatically using different means etc., in order to improve their SEO rankings. Penguin update prevented such manipulations.
In 2016, Google introduced 4.0 update where Penguin was made in real time. Earlier, when there is a data updation, only then does Penguin update play the role, but now (real time) when links are built, if they are spammy links, at that particular moment itself the update works and shows in the ranking.
Hummingbird Update
Hummingbird update was launched by Google on August 22, 2013. This update helped Google better interpret search queries and provide results that match searcher intent while keywords continue to be important. Hummingbird makes it possible for a page to rank for a query even if it doesn't contain the exact words the searcher entered. Hummingbird update allows Google to do a better job at understanding the search queries by not merely matching the keywords used by the searcher but also by focusing on the meaning of the query.
Pigeon Update
Pigeon update was launched on July 24, 2014. It is a new algorithm to provide more relevant, useful and accurate local search results that are tied more closely to traditional web search ranking signals. Pigeon affects those searches in which the user's location plays an important part. The update created closer ties between the local algorithm and the core algorithm: traditional SEO factors are now used to rank local results.
Mobile Update
Google Mobile friendly update was launched on April 21, 2015. Google's Mobile update (aka Mobilegeddon) ensures that mobile-friendly pages rank at the top of mobile search, while pages not optimized for mobile are filtered out from the SERPs or seriously down-ranked.
RankBrain Update
Google introduced RankBrain update on October 26, 2015. RankBrain is a part of Google's core algorithm which uses machine learning (the ability of machines to teach themselves from data inputs) to determine the most accurate results to search engine queries. The machine learning aspect of RankBrain is the unique feature that sets it apart from other updates of Google. RankBrain is an artificial intelligence system that's being applied to and used with Google's current search engine algorithms to provide better search results to user queries.
Possum Update
Google launched Possum update on September 1, 2016. The Possum update ensured that local results vary depending on the searcher's location: the closer you are to a business's address, the more likely you are to see it among local results. Possum is an update to Google's local search rankings algorithm, and it decides when businesses will show up in local search results.
Fred Update
Google implemented Fred update on March 7, 2017. Google Fred is an algorithm designed by Google to target black-hat tactics that are associated to overly aggressive monetization. Google Fred particularly looks for excessive ads, low-value content, and websites that generally offer very little user benefit. Salesy websites that have little purpose other than to drive revenue rather than providing helpful information seem to be penalized the hardest by Google using the Fred update.
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