Google Algorithm : Panda, Penguin and Hummingbird.

A good search engine doesn't return the pages that best match the input query. A good search engine is that tries to answer the underlying question.

That is why Google and other search engines are working hard and making a very big and complex algorithm for the best search result to your requirements. You may say that the search engine is not just searching the key words you entered. This is also suggesting you the best articles or best things according to your keywords.

In the Internet the most used search engine is Google. So we will, talk about the Google search engine algorithm.

Google implemented mainly three versions of search engine algorithm i.e, Panda, Penguin and Hummingbird.

What is Google Panda?

This was first introduced in the February 2011, and has had several smaller updates. Panda started the ball rolling on the content discussion, focusing on low quality and thin sites in favour of those with in-depth.

Mainly the algorithm version asked some questions to mark a website and make it's ranking. These are,

• would you trust informations pretended in the article?
• is this article written by an expert or an enthusiast who knows the topic well, or is it more sallow in nature?
• does the site have duplicate contents or same contents with some keyword variations?
• would you comfortable to giving your credit card information to this site?
• does this site have spelling, stylistic and factual errors?
• are the traffic driven to this site are genuine or they are something like paid traffic, link exchange or just black hat keyword implementation?
• does the page provide substantial value when compared to other pages in search results?
• how much quality control is done on content?
• does the article describe both sides of a story?
• is the site a recognized authority on its topic?
• is the content mass-produced by or outsourced to a large number of creators, or spread across a large network of sites, so that individual pages or sites don’t get as much attention or care?
• was the article edited well, or does it appear sloppy or hastily produced?
• for a health related query, would you trust information from this site?
• would you recognize this site as an authoritative source when mentioned by name?
• does this article provide a complete or comprehensive description of the topic?
• does this article contain insightful analysis or interesting information that is beyond obvious?
• is this the sort of page you’d want to bookmark, share with a friend, or recommend?
• does this article have an excessive amount of ads that distract from or interfere with the main content?
• would you expect to see this article in a printed magazine, encyclopedia or book?
• are the articles short, unsubstantial, or otherwise lacking in helpful specifics?
• are the pages produced with great care and attention to detail vs. less attention to detail?
• would users complain when they see pages from this site?

What is Google Penguin?

This was first introduced in in April 2012 . This is the response to the black hats tricks that are used to build back links for the site rankings.

So if you are thinking of using some tricks to make back links or you have read about this from some websites then you must read this before try that.

This update mainly depends upon some logics. These are,

• is this a high quality site?
• are the links from the other sites are qualitative i.e, are the link give you your needed results?
• is the link from this site to other sites are relevant?
• is this site using the link exchanges between some sites or its author's another site with same IP address?

What is Google Hummingbird?

Hummingbird reinforced everything that had been done through Google Panda and Penguin, but added two specific dimensions. Announced in late 2013, Hummingbird introduced the importance of mobile devices to search. For the first time, mobile responsive designs clearly have taken on increased importance. Many have argued that it’s also critical to have a mobile content strategy: that is, to assume that readers will be accessing your content from a variety of devices including smartphones and tablets and creating your content with a mobile-first mindset.

The second, and perhaps more exciting, component of Hummingbird was the introduction of contextual search. Until Hummingbird, search engines typically interpreted queries using what it identified as the most important keywords from a search. But with Hummingbird’s introduction, Google has begun to look at the relationship between terms to interpret context.

Many considered Hummingbird a natural evolution both of Google’s development and of the proliferation of mobile devices. After being in business for 15 years, Google’s developed an incredibly rich and sophisticated Knowledge Graph (or major database of all the information that it’s collected). As more and more users search on mobile devices, searches are evolving from short keyword driven inquiries to being structured the way we naturally speak and ask questions. Hummingbird is helping to ensure that Google is poised to understand and meet that demand.