Google Hummingbird

File:Google Hummingbird Logo.png

Google's logo for the search algorithm

Google Hummingbird is a search algorithm used by Google.

Google started using Hummingbird about August 30, 2013, and announced the change on September 26 on the eve of the company's 15th anniversary.

Gianluca Fiorelli said Hummingbird is about synonyms but also about context. Google always had synonyms, he writes, but with Hummingbird it is also able to judge context - thereby judging the intent of a person carrying out a search, to determine what they are trying to find out. This concept is called semantic search. Danny Sullivan said of Hummingbird, "Google said that Hummingbird is paying more attention to each word in a query, ensuring that the whole query — the whole sentence or conversation or meaning — is taken into account." Michelle Hill said Hummingbird is about "understanding intent". Steve Masters wrote, "The Hummingbird approach should be inspirational to anyone managing and planning content — if you aren't already thinking like Hummingbird, you should be. In a nutshell, think about why people are looking for something rather than what they are looking for. A content strategy should be designed to answer their needs, not just provide them with facts."

Features

The Hummingbird update was the first major update to Google's search algorithm since the 2010 “Caffeine Update”, but even that was limited primarily to improving the indexing of information rather than the sorting of information. Google search chief Amit Singhal stated that Hummingbird is the first major update of its type since 2001.

Conversational search leverages natural language, semantic search, and more to improve the way search queries are parsed. Unlike previous search algorithms which would focus on each individual word in the search query, Hummingbird considers each word but also how each word makes up the entirety of the query — the whole sentence or conversation or meaning — is taken into account, rather than particular words. The goal is that pages matching the meaning do better, rather than pages matching just a few words.

Much like an extension of Google's "Knowledge Graph", Hummingbird is aimed at making interactions more human — capable of understanding the concepts and relationships between keywords.

Hummingbird places greater emphasis on page content making search results more relevant and pertinent and ensuring that Google delivers users to the most appropriate page of a website, rather than to a home page or top level page.

SEO

Search engine optimization changed little with the addition of Hummingbird, though more top ranking results are ones that provide natural content that reads conversationally. 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. Webmasters will now have to cater towards queries that are asked naturally; with the growing number of conversational queries — namely those using voice search, targeting phrases that start with "Who, Why, Where, and How" will prove beneficial towards SEO. The use of keyword synonyms have also been optimized with Hummingbird; instead of listing results with exact phrases or keywords, Google shows more theme-related results.

See also

• PageRank
• Google Panda
• Google Penguin
• Google Pigeon
• Google penalty
• Knowledge Graph
• Author Rank
• Semantic analysis (machine learning)

References

1. REDIRECT Template:Google LLC