Google Hummingbird a human engine

[subornaakter20]

Now, beyond these two specific updates, the last major structural overhaul at Google came in 2010, with Caffeine . This reconfiguration focused specifically on the engine's indexing methodologies; the main benefit was an exponential increase in Google Search 's response speed . But with the agility also came a profuse storm of poor links, which is why they created the two patches specified above.

Now, 3 years later, the new major modification aims directly at the semantization of searches and a “humanization” of the algorithm. Let’s see what Hummingbird is all about .

71298-google-hummingbird-definitive-guide-in-Spanish-1384431980

The search engine timeline.




During the celebrations of his 15th birthday, Amit Singhal , the head of Google Search, thought it appropriate to present Hummingbird , the renewed structure of the search engine. The pharmaceutical email lists changes introduced in this update focus on a more concrete approach of the algorithm to human language, to the contextualization of words and to the linguistic semantization of a given query.

Links are the fossil fuel of search relevance signals. Polluted. Not getting better. And yet, that's what Google Hummingbird drinks most

— Danny Sullivan (@dannysullivan) October 18, 2013

That is to say, as Google has been predicting for some time, they have formally confirmed the reality that keywords , the former queens of the dance, are gradually losing their predominance. This does not mean that they are completely harmless, but the algorithm is becoming increasingly intelligent. Consequently, and in theory, the results it offers should be closer to the needs of the user in terms of quality and relevance.

71298-google-hummingbird-definitive-guide-in-Spanish-1384432004


Focusing on conceptualization , on the richness of the text, on the development of an idea, and not so much on pure and hard keywords, then, can have its rewards. Each textual or contextual piece is unique, up-to-date and likely to be shared, both by a user and by a search engine.

Let's look at an example that the people behind it themselves presented: if a user searches for "acid reflux prescription," the results will most likely focus on a list of drug sites. Now, with the semantic capacity of the algorithm, and understanding that prescriptions may not be the ideal solution for acid reflux, Google is able to offer other more relevant alternatives, such as specific treatments. Let's look at the image:

71298-google-hummingbird-definitive-guide-in-Spanish-1384431929

Image source: Google

But the truth is that the concept of semantic search and the use of synonyms are not new. The search engine had already introduced them some time ago and even two of its fundamental features (conversational search and Knowledge Graph ) have already been put into practice recently. But the main difference is that Humingbird is a structural change at all levels and, more importantly, it affects 90% of the results , so escaping its wings is going to be very difficult. So what can we do to avoid being exiled to the digital desert? The truth is that this is not new either.