Google Hummingbird

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Google[3] Hummingbird is a search algorithm[2] introduced by Google in September 2013. This tool is significant because it was the first major update since the Caffeine upgrade in 2010. Hummingbird’s name is indicative of its speed and accuracy. It’s designed to focus on the context of words in a search query, understanding the relationships between keywords to deliver more relevant and human-like search results. This algorithm doesn’t just match pages based on individual words, but on their meaning, emphasizing page content and authority. This change affected otimização de motores de busca[1] practices, promoting natural language use, technical features, high-quality content, long-tailed keywords, synonyms, and effective use of on-page elements.

Definições de termos
1. otimização de motores de busca. A otimização dos motores de busca, normalmente designada por SEO, é uma estratégia de marketing digital fundamental. Com origem em meados dos anos 90, a SEO consiste em melhorar os sítios Web para obter classificações mais elevadas nas páginas de resultados dos motores de busca. Este processo é essencial para aumentar o tráfego na Web e converter visitantes em clientes. A SEO utiliza várias técnicas, incluindo a conceção de páginas, a otimização de palavras-chave e a atualização de conteúdos, para melhorar a visibilidade de um sítio Web. Envolve também a utilização de ferramentas para monitorizar e adaptar-se às actualizações dos motores de busca. As práticas de SEO variam entre os métodos éticos de "chapéu branco" e as técnicas reprovadas de "chapéu preto", sendo que o "chapéu cinzento" se situa entre ambos. Embora a SEO não seja adequada para todos os sítios Web, a sua eficácia nas campanhas de marketing na Internet não pode ser subestimada. As tendências recentes do sector, como a utilização da Web móvel que ultrapassa a utilização do computador, realçam a paisagem em evolução da SEO.
2. algorithm. An algorithm is a well-defined sequence of instructions or rules that provides a solution to a specific problem or task. Originating from ancient civilizations, algorithms have evolved through centuries and are now integral to modern computing. They are designed using techniques such as divide-and-conquer and are evaluated for efficiency using measures like big O notation. Algorithms can be represented in various forms like pseudocode, flowcharts, or programming languages. They are executed by translating them into a language that computers can understand, with the speed of execution dependent on the instruction set used. Algorithms can be classified based on their implementation or design paradigm, and their efficiency can significantly impact processing time. Understanding and using algorithms effectively is crucial in fields like computer science and artificial intelligence.
Google Hummingbird (Wikipédia)

Hummingbird is the codename given to a significant algorithm change in Pesquisa no Google 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.

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