Google Hummingbird

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 in use for 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 website's homepage.

The upgrade marked the most significant change to Google search in years, with more "human" search interactions and a much heavier focus on conversation and meaning. Thus, web developers and writers were encouraged to optimize their sites with natural writing rather than forced keywords, and make effective use of technical web development for on-site navigation.

Google Hummingbird Logo
The logo for Google Hummingbird


Google announced "Hummingbird", a new search algorithm, at a September 2013 press event,[1] having already used the algorithm for approximately one month prior to announcement.[2]


The "Hummingbird" update was the first major update to Google's search algorithm since the 2010 "Caffeine" search architecture upgrade, but even that was limited primarily to improving the indexing of information rather than sorting through information.[2] Amit Singhal, then-search chief at Google, told Search Engine Land that "Hummingbird" was the most dramatic change of the algorithm since 2001, when he first joined Google.[2][3] Unlike previous search algorithms, which would focus on each individual word in the search query, "Hummingbird" considers the context of the different words together, with the goal that pages matching the meaning do better, rather than pages matching just a few words.[4] The name is derived from the speed and accuracy of the hummingbird animal.[4]

"Hummingbird" is aimed at making interactions more human, in the sense that the search engine is capable of understanding the concepts and relationships between keywords.[5] It places greater emphasis on page content, making search results more relevant, and looks at the authority of a page, and in some cases the page author, to determine the importance of a website. It uses this information to better lead users to a specific page on a website rather than the standard website homepage.[6]

Search engine optimization changes

Search engine optimization changed with the addition of "Hummingbird", with web developers and writers encouraged to use natural language when writing on their websites rather than using forced keywords. They were also advised to make effective use of technical website features, such as page linking, on-page elements including title tags, URL addresses and HTML tags, as well as writing high-quality, relevant content without duplication.[7] While keywords within the query still continue to be important, "Hummingbird" adds more strength to long-tailed keywords, effectively catering to the optimization of content rather than just keywords.[6] The use of synonyms have also been optimized; instead of listing results with exact phrases or keywords, Google shows more theme-related results.[8]

See also


  1. ^ Sullivan, Danny (September 26, 2013). "Google Reveals "Hummingbird" Search Algorithm, Other Changes At 15th Birthday Event". Search Engine Land. Retrieved December 10, 2017.
  2. ^ a b c Sullivan, Danny (September 26, 2013). "FAQ: All About The New Google "Hummingbird" Algorithm". Search Engine Land. Retrieved December 10, 2017.
  3. ^ Hull, Jeremy. "Google Hummingbird: where no search has gone before". Wired. Condé Nast. Retrieved December 10, 2017.
  4. ^ a b Elran, Asher (November 15, 2013). "What Google 'Hummingbird' Means for Your SEO Strategy". Entrepreneur. Retrieved December 10, 2017.
  5. ^ Taylor, Richard (September 26, 2013). "Google unveils major upgrade to search algorithm". BBC News. BBC. Retrieved December 10, 2017.
  6. ^ a b Dodds, Don (December 16, 2013). "An SEO Guide to the Google Hummingbird Update". HuffPost. Oath Inc. Retrieved December 10, 2017.
  7. ^ Marentis, Chris (April 11, 2014). "A Complete Guide To The Essentials Of Post-Hummingbird SEO". Search Engine Land. Retrieved December 10, 2017.
  8. ^ Krush, Alesia (November 22, 2013). "How to Thrill Google Hummingbird: The SEO's Guide [INFOGRAPHIC]". Search Engine Journal. Retrieved December 10, 2017.
Google Panda

Google Panda is a major change to Google's 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.

CNET reported a surge in the rankings of news websites and social networking sites, and a drop in rankings for sites containing large amounts of advertising. This change reportedly affected the rankings of almost 12 percent of all search results. Soon after the Panda rollout, many websites, including Google's webmaster forum, became filled with complaints of scrapers/copyright infringers getting better rankings than sites with original content. At one point, Google publicly asked for data points to help detect scrapers better. In 2016, Matt Cutts, Google's head of webspam at the time of the Panda update, commented that "with Panda, Google took a big enough revenue hit via some partners that Google actually needed to disclose Panda as a material impact on an earnings call. But I believe it was the right decision to launch Panda, both for the long-term trust of our users and for a better ecosystem for publishers."Google's Panda received several updates after the original rollout in February 2011, and their effect went global in April 2011. To help affected publishers, Google provided an advisory on its blog, thus giving some direction for self-evaluation of a website's quality. Google has provided a list of 23 bullet points on its blog answering the question of "What counts as a high-quality site?" that is supposed to help webmasters "step into Google's mindset".The name "Panda" comes from Google engineer Navneet Panda, who developed the technology that made it possible for Google to create and implement the algorithm.

Google Penguin

Google Penguin is a codename for a Google algorithm update that was first announced on April 24, 2012. The update is aimed at decreasing search engine rankings of websites that violate Google's Webmaster Guidelines by using now declared black-hat SEO techniques involved in increasing artificially the ranking of a webpage by manipulating the number of links pointing to the page. Such tactics are commonly described as link schemes. According to Google's John Mueller, Google has announced all updates to the Penguin filter to the public.

Google Pigeon

Google Pigeon is the code name given to one of Google's local search algorithm updates. This update was released on July 24, 2014. The update is aimed to increase the ranking of local listing in a search.

The changes will also affect the search results shown in Google Maps along with the regular Google search results.

As of the initial release date, it was released in US English and was intended to shortly be released in other languages and locations. This update provides the results based on the user location and the listing available in the local directory.

Google Search

Google Search, also referred to as Google Web Search or simply Google, is a web search engine developed by Google LLC. It is the most used search engine on the World Wide Web across all platforms, with 92.74% market share as of October 2018, handling more than 3.5 billion searches each day.The order of search results returned by Google is based, in part, on a priority rank system called "PageRank". Google Search also provides many different options for customized search, using symbols to include, exclude, specify or require certain search behavior, and offers specialized interactive experiences, such as flight status and package tracking, weather forecasts, currency, unit and time conversions, word definitions, and more.

The main purpose of Google Search is to hunt for text in publicly accessible documents offered by web servers, as opposed to other data, such as images or data contained in databases. It was originally developed by Larry Page and Sergey Brin in 1997. In June 2011, Google introduced "Google Voice Search" to search for spoken, rather than typed, words. In May 2012, Google introduced a Knowledge Graph semantic search feature in the U.S.

Analysis of the frequency of search terms may indicate economic, social and health trends. Data about the frequency of use of search terms on Google can be openly inquired via Google Trends and have been shown to correlate with flu outbreaks and unemployment levels, and provide the information faster than traditional reporting methods and surveys. As of mid-2016, Google's search engine has begun to rely on deep neural networks.Competitors of Google include Baidu and in China; and in South Korea; Yandex in Russia; in the Czech Republic; Yahoo in Japan, Taiwan and the US, as well as Bing and DuckDuckGo. Some smaller search engines offer facilities not available with Google, e.g. not storing any private or tracking information.

Within the US, as of July 2018, Microsoft Sites handled 24.2 percent of all search queries in the United States. During the same period of time, Oath (formerly known as Yahoo) had a search market share of 11.5 percent. Market leader Google generated 63.2 percent of all core search queries in the United States.

Hummingbird (disambiguation)

A hummingbird is a member of a family (Trochilidae) of very small birds.

Hummingbird may also refer to:

In music:

Hummingbird (band), a late 1970s British rock band

Hummingbird (Merzbow album), a 2001 album

Hummingbird (Rick Wakeman and Dave Cousins album), a 2002 album

Hummingbird (Jessica Robinson album), a 2005 album

Hummingbird (Local Natives album), a 2013 studio album by Local Natives

Humming Bird (Paul Gonsalves album)

"Hummingbird" (1955 song), a 1955 pop song

"Hummingbird" (Seals and Crofts song), a single by Seals and Crofts on the 1972 album Summer Breeze

"Hummingbird", a song by Jimmy Page from the 1988 album Outrider, written and composed by Leon Russell

"Hummingbird" (Restless Heart song), covered by Ricky Skaggs

"Hummingbirds", a single by Venus Hum from the 2001 album Venus Hum

"Hummingbird", a song by Wilco on the 2004 album A Ghost Is Born

"Hummingbird", a single by Born Ruffians from the 2008 album Red, Yellow & Blue

"Humming Bird", a song by Indica on their 2014 album Shine

The Hummingbirds, an Australian jangle pop band

Gibson Hummingbird, an acoustic guitar

Humming Bird Records, a record labelIn transportation:

Boeing A160 Hummingbird, a pilotless helicopter

de Havilland Humming Bird, a 1920s ultralight monoplane

Gemini Hummingbird, ultralight aircraft

Humming Bird (train), of the Louisville and Nashville Railroad

Hummingbird Highway in Belize

Lockheed XV-4 Hummingbird, an experimental vertical takeoff jet airplane

Nelson Hummingbird PG-185B motorgliderIn technology:

Hummingbird Processor, a mobile processor from Samsung

Hummingbird Ltd., a subsidiary of Open Text which produces the Exceed software product

Google Hummingbird, a search engine algorithm used by Google

See also Hummingbad, a type of malware for Android phones and tabletsIn media:

Hummingbird (film), a 2013 film starring Jason Statham

The Humming Bird, a 1924 American silent crime drama film

Hummingbird (comics), the codename of Aracely Penalba, a Marvel Comics characterIn other:

Macroglossum stellatarum, the Hummingbird Hawk-moth

Idol Defense Force Hummingbird, a 1993 four-episode OVA anime series

Hummingbirds (book), 2016 book

Hummingbird cake, a Jamaican banana-pineapple spice cake

Keyword stuffing

Keyword stuffing is a search engine optimization (SEO) technique, considered webspam or spamdexing, in which keywords are loaded into a web page's meta tags, visible content, or backlink anchor text in an attempt to gain an unfair rank advantage in search engines. Keyword stuffing may lead to a website being banned or penalized on major search engines either temporarily or permanently. The repetition of words in meta tags may explain why many search engines no longer use these tags.

Many major search engines have implemented algorithms that recognize keyword stuffing, and reduce or eliminate any unfair search advantage that the tactic may have been intended to gain, and oftentimes they will also penalize, demote or remove websites from their indexes that implement keyword stuffing.

Changes and algorithms specifically intended to penalize or ban sites using keyword stuffing include the Google Florida update (November 2003) Google Panda (February 2011) Google Hummingbird (August 2013) and Bing's September 2014 update.

Outline of Google

The following outline is provided as an overview of and topical guide to Google:

Google – American multinational technology company specializing in Internet-related services and products that include online advertising technologies, search, cloud computing, software, and hardware.


PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. PageRank was named after Larry Page, one of the founders of Google. PageRank is a way of measuring the importance of website pages. According to Google: PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites. Currently, PageRank is not the only algorithm used by Google to order search results, but it is the first algorithm that was used by the company, and it is the best known.

Search engine optimization

Search engine optimization (SEO) is the process of affecting the online visibility of a website or a web page in a web search engine's unpaid results—often referred to as "natural", "organic", or "earned" results. In general, the earlier (or higher ranked on the search results page), and more frequently a website appears in the search results list, the more visitors it will receive from the search engine's users; these visitors can then be converted into customers. SEO may target different kinds of search, including image search, video search, academic search, news search, and industry-specific vertical search engines. SEO differs from local search engine optimization in that the latter is focused on optimizing a business' online presence so that its web pages will be displayed by search engines when a user enters a local search for its products or services. The former instead is more focused on national or international searches.

As an Internet marketing strategy, SEO considers how search engines work, the computer programmed algorithms which dictate search engine behavior, what people search for, the actual search terms or keywords typed into search engines, and which search engines are preferred by their targeted audience. Optimizing a website may involve editing its content, adding content, doing HTML, and associated coding to both increase its relevance to specific keywords and to remove barriers to the indexing activities of search engines. Promoting a site to increase the number of backlinks, or inbound links, is another SEO tactic. By May 2015, mobile search had surpassed desktop search. In 2015, it was reported that Google is developing and promoting mobile search as a key feature within future products. In response, many brands are beginning to take a different approach to their Internet marketing strategies.

Timeline of Google Search

Google Search, offered by Google, is the most widely used search engine on the World Wide Web as of 2014, with over three billion searches a day. This page covers key events in the history of Google's search service.

For a history of Google the company, including all of Google's products, acquisitions, and corporate changes, see the history of Google page.

Timeline of web search engines

This page provides a full timeline of web search engines, starting from the Archie search engine in 1990. It is complementary to the history of web search engines page that provides more qualitative detail on the history.

Web search query

A web search query is a query based on a specific search term that a user enters into a web search engine to satisfy his or her information needs. Web search queries are distinctive in that they are often plain text or hypertext with optional search-directives (such as "and"/"or" with "-" to exclude). They vary greatly from standard query languages, which are governed by strict syntax rules as command languages with keyword or positional parameters.


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