Google Algorithms

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GOOGLE ALGORITHMS
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What is Google Algorithm?

• Google search algorithm is a complex system that
  allows Google to find, rank, and return the most
  relevant pages for a certain search query.
• To be precise, the whole ranking system consists
  of multiple algorithms that consider various
  factors such as quality, relevance or usability
  of the page.

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Types of Google Algorithms

• Google Panda
• Google Hummingbird
• Google Pigeon
• Google Penguin
• Core Updates
• Mobile
• Rank Brain

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Google Panda

• Google Panda initial release date February
  23,2011
• Google Panda is a major change to Googles search
  results ranking algorithm that was first released
  in February 2011. The change aimed to lower the
  rank of "low-quality sites" or "thin sites", in
  particular, content farms", and return
  higher-quality sites near the top of the search
  results.
• The panda address several problematic phenomena
  like-- Thin content, Duplicate content,
  Low-Quality content, Lack of authority, Content
  farming, Low-Quality content surrounding
  affiliate link, Websites blocked by users,
  Content mismatching search query.
• One signal of a potential Panda penalization is a
  sudden drop in your websites organic traffic or
  search engine rankings correlating with a known
  date of an algorithm update.

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GOOGLE HUMMINBIRD

• Google Hummingbird initial release date August
  20,2013
• Hummingbird is the codename given to a
  significant algorithm change in Google Search in
  2013. Its name was derived from the speed and
  accuracy of the hummingbird. The change was
  announced on September 26,2013, having already
  been use foe a month.
• Hummingbird places greater emphasis on natural
  language queries, considering context and meaning
  over individual keywords. It also looks deeper at
  content on individual pages of a website, with
  improved ability to lead users directly to the
  most appropriate page rather than just a
  websites homepage.

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Google Pigeon

• Google Pigeon initial release date July 24,2014
• One of Googles stated purposes for the Pigeon
  update was to connect their local algorithm more
  deeply to their traditional web algorithm to take
  full advantage of the hundreds of ranking signals
  that go into the web algorithm.
• For example, when searching for a query like
  pizza san Francisco, a user in the North Beach
  area of San Francisco would receive local results
  narrowed to that neighborhood instead of
  city-wide results .

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Google Penguin

• Google Penguin initial release date April
  24,2012
• The penguin update was announced by Google as a
  new effort to reward high-quality websites and
  diminish the search engine results page (SERP)
  presence of websites that engaged in manipulative
  link schemes and keyword stuffing.
• The initial rollout of Penguin impacted 3.1 of
  English language search engine queries. Between
  2012 and 2016, the filter went through 10
  documented updates, evolving over time and
  influencing the SEO communitys understanding of
  the problematic practices Penguin sought to
  address.
• As of early 2017, Penguin is now part of Googles
  core algorithm.

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Core Updates

• Core Update initial release date December 3,
  2020
• As far back as 2017, Google has started to refer
  to bigger updates as Google core updates. Since
  then, there is even less transparency about what
  those updates are and which parts of the search
  they are intended to improve.
• SEOs would often track post-update ranking shifts
  and try to figure out what exactly has changed,
  but there is rarely a conclusive observation. It
  is likely that Google core updates are just
  improvements on previous Google updates or
  perhaps bundles of smaller updates tied together.

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Mobile

• Mobile initial release date April 21, 2015
• This, and subsequent mobile search updates
  (2018, 2020) have shifted the focus from a
  desktop to a mobile version of your website.
  Today, Google ranks all websites based on how
  fast and user-friendly their mobile versions are.

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Rank Brain

• Rank Brain initial release date October 2015
• Rank Brain is a part of Googles Hummingbird
  algorithm. It is a machine learning system that
  helps Google understand the meaning behind
  queries and serve best-matching search results in
  response to those queries.
• Google calls Rank Brain the third most important
  ranking factor.While we dont know the exact
  formula behind this major update, the consensus
  is that Rank Brain is responsible for customizing
  a users Google search results. Basically, Google
  goes beyond a persons search query and takes
  into account the larger context, like synonyms,
  implied words, and personal search history.

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