Google Humming Bird Update

Friday, 27 September 2013


Google has an all new Search Algorithm. When you search and it comes back with the best answer, it's called Hummingbird. It uses, a sort through all the information it has in it's database. Below is something know about it so far:

Search Algorithm and Hummingbird Algorithm


When you search for something in Google or other search engine, they return a list of relevant pages. The system they use to sort those pages according to your search term is called Search Algorithm.
Hummingbird is a name for the new search algorithm used by Google to sort through billions of pages. Google says, it's best algorithm to return results so far.

Yes, it's not the first time we're seeing these changes. Google has been doing these changes time to time. Last algorithm change was in 2010, called Caffeine Update. But that update was helpful in gathering more and better information to Google rather than sorting that billions of pages data for searchers.

Google Penguin and Panda Updates


Most of you might be thinking what about Panda and Penguin update those occurred half an year ago? Well let me tell you, panda and penguin updates were just updates to the old algorithm. They were not the replacement of the whole algorithm unlike Hummingbird algorithm.

How hummingbird update will help searchers?


It's mostly making the conversational searches far much better. For an example you search for (voice search) "32" LED TV near my home" while with conventional search. You could have get pages those matches with the keyword "32 Inch" and "LED TV"

But with hummingbird update, you get better results because, if you have shared your location with Google, Hummingbird knows where you are. Now the pages will be from your city. Hummingbird know, 32 inch LED TV is a specific kind of electronic device. So in this way, it's aims the conversational search rather than keyword specific.

In particular, 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, rather than particular words. The goal is that pages matching the meaning do better, rather than pages matching just a few words.

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