Qu'est-ce que Google Hummingbird ?

Hummingbird is the codename for a big algorithm modification made in 2013 to Google Recherche. Its name is derived from the hummingbird\’s dexterity and precision. The adjustment was disclosed on September 26, 2013, after a mois of operation. \”Hummingbird\” put a stronger focus on natural language inquiries, taking context and meaning into account in addition to specific keywords.

Additionally, it digs deeper into the information on specific pages of a website, improving the capacity to guide readers to the most relevant page rather than merely the homepage.
The revamp was Google\’s most major update in years, introducing more \”human\” search interactions and a far stronger emphasis on discussion and meaning. Thus, web developers and authors were urged to optimise their sites using natural language rather than mot-clé et de faire un usage efficace du développement technique du web pour la navigation sur le site.

Histoires de Google Hummingbird

Google a présenté "Hummingbird", un nouvel algorithme de recherche, lors d'un événement de presse en septembre 2013, après l'avoir testé pendant environ un mois avant sa publication.
The \”Hummingbird\” update was the first significant change to Google\’s search algorithm since the 2010 \”Caffeine\” search l'architecture upgrade, though even that improvement was focused on indexation rather than sorting contenu. Amit Singhal, Google\’s then-search head, told Search Engine Land that \”Hummingbird\” was the algorithm\’s most significant modification since 2001, when he joined the company. Unlike prior search algorithms, qui focused on each individual word in the search query, \”Hummingbird\” evaluates the context of the various terms in the search query, with the purpose of improving the performance of websites that fit the meaning, rather than simply a few words.

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\”Hummingbird\” aims to humanise encounters by allowing the search engine to comprehend the idées and links between terms. It focuses a higher focus on page content, which improves the relevance of search results, and evaluates the autorité of a page, as well as the page author in certain situations, to assess the value of a website. It makes use of this data to direct readers to a particular page on a website rather than the default website homepage.

Changements dans l'optimisation des moteurs de recherche après Google Hummingbird

With the arrival of \”Hummingbird,\” search engine optimization shifted, with web developers and authors encouraged to write in natural language rather than using forced keywords. Additionally, they were instructed to make efficient use of technical website capabilities such as page linking, sur la page components such as titre tags, URL addresses, and HTML tags, as well as to create unique, high-quality content. While keywords inside the query remain vital, \”Hummingbird\” strengthens long-tail keywords, essentially catering to content optimization rather than keyword optimization. Additionally, the usage of synonyms has been enhanced; rather than displaying results based on precise phrases or keywords, Google now prioritises results that are theme-related.