How Google Search Works?

Everyday billion of people visit google with questions - about all kind of things. Sometime even people even search to the google itself " How to hack google?" and even google respond to us with million of results in few millisecond. Then, how google works? How its shows the relevant result? How we get the right result of our desired question?

This is where Google's Ranking algorithms come into play: first, they try to understand what you are looking for. So they can be helpful even if you don't know the correct spelling or right word. Then they shift through million of matches in the index and automatically assemble the page that tries to put the most relevant information up top, for you to choose from. Okay, Now you have some results. How did the algorithms actually decide what made it onto the first page? There are hundreds of factor that go into ranking search results, so let's talk about few of them:-

1. Keywords

You may already know that the pages containing the words you searched for are more likely to end up at the top - no surprise here. But the location of those words, like, in the page titles, or in the page's captions - those are factors too. There's is alot more to ranking than just words. Back when google got started they looked at how pages linked to each other to better understand what pages were about and how important and trustworthy they seemed. Today, still linking is the important factor

2. Location

Another factor is location - where a search happens - because if you happen to be in Kathmandu Nepal  you might be looking the information about the temples and stupas but if are in Sahara Desert then probably aren't.

3. Time Of Webpage Uploaded

When web page are uploaded is an important factor too-- pages published more recently often have more accurate information, especially in the case of rapidly developing news story. Of course, not every websites in the web are trying to be helpful. Just like with robocalls on your phone or spam on your email, there are lots of sites that exits  to scam and everyday scammers upload millions more of them. So just because instantvirusdownload.net list the words "Lasagna recipe" 400 times it doesn't mean that its going to help to make you dinner. Google spend a lot of time trying to stay  one step ahead of tricks like these, making sure their algorithms can recognise scams sites and flag them before they make it to our search.

So, lets' review: billions times a day, whenever someone searches for "lasagna", or "resume writing tips" or "How to swaddle a baby?" or anything else, google's software locates the all the potentially relevant results on the web, removes all the spams, and ranks them on them based on hundred of factors like keywords, linking, location and freshness.

This last part is about how google make changes to search, and it's important.
Since 1998, when google went online, people seems to find out the google results pretty helpful.But, the web is always changing, and people are always searching for new things. - in fact, one in every seven searches is for something that's never typed into the search box before, by anyone ever. So google is always working on update to search - thousand every year. Which brings up a big question: how do we decide whether a changing is making search more helpful?
Well, one of the ways they evaluate the potential updates to search is asking people like us. Every day thousands of Search Quality Raters look at samples of search results side-by-side, then give feedback about relevance and reliability of information.  To make sure those evaluation are consistent, the raters follows a list of Search Quality Evaluator Guidelines. One last thing to remember: they use responses from raters o evaluate changes, but they don't directly impact how search results are ranked. So, there you have it: everytime you click "search", google algorithms are analysing the meaning of the words in our search, matching them on the content on the web, understanding most what content is most likely to helpful and reliable, and then automatically putting it all together in a neatly organised page. All with in 0.81 seconds... wow.


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