Search engines are a bit tricky to understand. They contain complex and difficult processes and methodologies that are updated all the time. This might give you an idea on how search engines work to retrieve your search results. All search engines follow this basic method when conducting search processes, however as a result of variations in search engines, results vary depending on what search engine you employ.
- The searcher enters a query into the search engine.
- Search engine package quickly goes through innumerable pages present in its database so as to match search with the query entered.
- The search engine’s results are ranked accordingly as per relevancy.
How Search Engine Actually Works?
The following describes the basic steps in search engine operation:
Crawling Vs. Indexing
What does it mean when it is said Google has “indexed” a site? For SEOs, it colloquially means that viewing a particular site like www.site.com on Google search. This shows that the pages have been added to Google’s database which in other words technically means that they are not crawled, that’s how they appear from time to time. Crawling pages mechanism is done by automated machine controlled robots, normally referred as “spiders”, and is one of the main functions of a search engine. The spiders “read” one page and then follow any links from that page that directs them to a different page. Through links the spiders will reach billions of interconnected documents.
Indexing is one of a few things that is entirely different. By simplification it can be explained as- Discovering URLs before they have to be crawled, and that they have to be crawled before they have to be “indexed” or precisely saying, having number of words in relation to the words in Google’s index. Also Indexing is the method how search engines choose items of relevant code from the web page and catalog them. They store the necessary code and information organized in large data centers present around the world which can be a very difficult task to perform.
An index doesn’t contain documents but a list of words or phrases and a reference for each of these documents associated with that word or phrase. The saying “the document has been indexed” actually means that “some of the words associated with the document currently directs to the document.”
What it is really like search engine operation?
Google learns URLs, and add these URLs to its crawl scheduling system. It rearranges the given list of URLs in priority order and crawls therein order. The priority is estimated on all types of factors. Once a page is crawled, Google then goes through another algorithmic method to work out whether or not to store the page in their index. This implies is that Google doesn’t crawl each page they comprehend and doesn’t index each page they crawl.
Through links, search engines’ robots, also referred as “crawlers” or “spiders” will reach various billions of interconnected documents. Once search engines recognize these pages, they next decipher the code from them and store selected items in massive hard drives, for further reference if required for a search question. To accomplish the sensitive task of holding billions of pages which will be accessed within a fraction of a second, the search engines have made datacenters all over the globe.
These huge storage facilities hold thousands of machine processed massive quantities of data. After all, once a user performs a search on any of the search engines, they want results to be displayed instantly – even a delay of minute second will disappoint the user, therefore the engines work hard to produce answers as quick as possible.
One important thing to be noticed is that canonicals, parameter exclusion, and other different elements are processed at some point between when Google learns about the page and when it crawls and/or indexes it.
Providing answers for the Users
Search engines can be termed as answering machines. When a user tries to search anything online, it requires the search engines to scour their corpus of billions of documents and do two things – first is returning those results that are relevant or helpful to the searcher’s question, and second, rank those results to order of perceived utility. It implies that SEO influences both relevancy as well as importance.
To a search engine, relevancy means merely finding a page with the correct words. In the earlier days, search engines didn’t think beyond this one simple step, and their results suffered as a consequence. Thus, through evolution, proficient and smart engineers at the engines devised high methods to seek out worthy results that searchers would appreciate.
How Search Engines Determine Importance?
Currently, the major search engines usually interpret popularity as importance – the more popular a website, page or document is, the more valuable and quality information is expected.
This assumption has proved successful when applied, because the engines have continuing to extend users’ satisfaction with the help of these metrics that interpret quality.
Popularity and relevancy aren’t manually determined. Instead, the engines craft careful, mathematical equations and algorithms so as to increase the performance. These algorithms are typically comprised of many elements within the search field, generally referred as “ranking factors.”