We live in a world of abundant information. ‘Search’ is one of the most powerful channels to find what you want. Modern search engines know what you are looking for and make it available on demand. Have you ever wondered how they fetch relevant information from the massive worldwide web? Experts from our technical team have compiled this eBook to tell you how. Company: rapidBizApps Website: www.rapidbizapps.com

3. Step
1

4. Database Module
• A graph, with
nodes and edges,
is constructed as
per the links
pointing to the
other web pages.

5. Bots give full web
pages text to the
indexer.
Stop words like
(for, in, at etc) and
punctuation are
ignored.
The text is
converted to lower
case and stored.
Term Weighting Factor
Term
Frequency
How many times
the term
occurred in the
collected text.
Collection
Frequency
Used to
discriminate one
document from
the other.
Length
Normalization
Long documents
have larger term
set than short
ones.

6. It is not possible to
keep up with the
growth of web and
update the content
asap. By the time bot
is able to craw
through, its indexed
content gets outdated.
So the web has been
divided into segments
and then the index is
incrementally updated.

7. Page Rank – Google’s Secret Algorithm
Latest Reputation
Popularity Authority Trustworthy Freshness Relevance
Query Terms
Position Size Proximity
User
Content
Geographic
Region
Web History

8. The algorithms get
to the deeper
meaning of the
words you type in
the search bar.
A search engine
identifies and
corrects possible
spelling errors and
provides
alternatives.
Autocomplete
predicts what you
might be searching
for. This includes
understanding
terms with more
than one meaning.
The previous
searches help the
engine
comprehend what
the user might be
looking for.

9. A lot more goes
into displaying the
most relevant
results to the user.
Search engines
like Google rank
based on more
than 200 factors.