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How Google Search Works

Did you ever think that, 
how Google Search itself work,

like how this whole
thing actually works.


And while this is a subject
entire books have been written

about, there is a
good chance you're

in the market for something
a little more concise.

So let's say it's
getting close to dinner

and you want a
recipe for Biryani.

You've probably
seen this before.

But let's go a little deeper.

Since the beginning, back when
the home page looked like this,
image source  financial express


Google has been
continuously mapping

the web, hundreds of
billions of pages,

to create something
called an index.

Think of it as the
giant library we

look through whenever you do a
search for Biryani or anything

else.

Now, the word Biryani
shows up a lot on the web--

pages about the
history of Biryani,

articles by scientists
whose last name

happened to be Burhani,
stuff other people

might be looking for.

But if you're hungry, randomly
clicking through millions

of links is no fun.

This is where Google's ranking
algorithms come into play.

First, they try
to understand what

you're looking for so they can
be helpful even if you don't

know exactly the
right words to use

or if your spelling
is a little off.

Then they sift through
millions of possible matches

in the index and
automatically assemble

a page that tries to put the
most relevant information

up top for you to choose from.

OK.

Now we have some results.

But how did the
algorithms actually decide

what made it onto
the first page?

There are hundreds
of factors that

go into ranking search results.

So let's talk about
a few of them.

You may already know
that pages containing

the words you
search for are more

likely to end up at the top.

No surprise there.

But the location of those
words, like in the page's title,

or in an image's caption,
those are factors, too.

There's a lot more to
ranking than just words.

Back when Google got
started, we looked

at how pages linked
to each other

to better understand
what pages were about

and how important and
trustworthy they seemed.

Today, linking is still
an important factor.

Another factor is location,
where a search happens.

When a web page was uploaded
is an important factor, too.

Pages published
more recently often

have more accurate
information, especially

in the case of a rapidly
developing news story.

Of course, not every site on
the web is trying to be helpful.

Just like with robocalls on your
phone or spam in your email,

there are a lot of sites
that only exist to scam.

And every day, scammers
upload millions more of them.

So just because
InstantVirusDownload.net

lists the words "Biryani
recipe" 400 times,

that doesn't mean it's going
to help you make dinner.

We spend a lot of time trying
to stay one step ahead of tricks

like these, making sure our
algorithms can recognize scam

sites and flag them before they
make it to your search results

page.

So let's review.

Billions of times
a day, whenever

someone searches for Biryani,
or resume writing tips,

or how to swaddle a
baby, or anything else,

Google software locates all the
potentially relevant results

on the web, removes
all the spam,

and ranks them based on hundreds
of factors, like keywords,

links, location, and freshness.

OK.

Good time to take a breath.

This last part is about how
we make changes to Search.

And it's important.

Since 1998, when
Google went online,

people seem to have found
our 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
been typed into the search

box before by anyone ever.

So we're always working
on updates to Search,

thousands every year.

Which brings up a big question.

How do we decide
whether a change

is making Search more helpful?

Well, one of the
ways we evaluate

potential updates to Search
is by asking people like you.

Every day, thousands of
Search quality raters

look at samples of Search
results side by side,

then give feedback about the
relevance and reliability

of the information.

To make sure those
evaluations are consistent,

the raters follow a list
of Search quality evaluator

guidelines.

Think of them as our publicly
available guide to what

makes a good result good.

Oh, and one last
thing to remember.

We use responses from
raters to evaluate changes.

But they don't directly impact
how Search results are ranked.

So there you have it.

Every time you click
Search, our algorithms

are analyzing the meaning
of the words in your search,

matching them to the
content on the web,

understanding what
content is most

likely to be helpful
and reliable,

and then automatically
putting it all together

in a neatly organized page
designed to get you the info

you need.

All in, oh, 0.81 seconds?

Wow.

See you in next blog

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