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What Is Search Engine And How Google Search Engine Work?

From a user’s standpoint, search engines are a modern-day miracle. You type a query into a search box, and in most cases, results from the web are sorted and ranked in milliseconds.

Know The Answer Of Some Queries About Search Engines Like Google

What Is A Search Engine?

A search engine consists of two main things: a database of information, and algorithms that compute which results to return and rank for a given query. In the case of web search engines like Google, Bing, Yahoo etc. the database consists of trillions of web pages, and the algorithms look at hundreds of factors to deliver the most relevant results.

How Do Search Engines Work?

Search engines work by taking a list of known URLs, which then go to the scheduler. The scheduler decides when to crawl each URL. Crawled pages then go to the parser where vital information is extracted and indexed. Parsed links go to the scheduler, which prioritizes their crawling and re-crawling. When you search for something, search engines return matching pages, and algorithms rank them by relevance.

We’ll cover ranking algorithms shortly. First, let’s drill deeper into the mechanisms used to build and maintain a web index to make sure we understand how they work. These are scheduling, crawling, parsing, and indexing, click here.

Scheduling

The scheduler assesses the relative importance of new and known URLs. It then decides when to crawl new URLs and how often to re-crawl known URLs.

Crawling

The crawler is a computer program that downloads web pages. Search engines discover new content by regularly re-crawling known pages where new links often get added over time.

When a search engine like Google re-crawls that page, it downloads the content of the page with the recently-added links. The crawler then passes the downloaded web page to the parser.

Parsing

The parser extracts links from the page, along with other key information. It then sends extracted URLs to the scheduler and extracted data for indexing.

Indexing

Indexing is where parsed information from crawled pages gets added to a database called a search index. Think of this as a digital library of information about trillions of web pages.

What Is A Search Engine Algorithm?

Discovering and indexing content is merely the first part of the puzzle. Search engines also need a way to rank matching results when a user performs a search. This is the job of search engine algorithms. Each search engine has unique algorithms for ranking web pages. But as Google is by far the most widely used search engine at least in the western world, that’s the one we’re going to focus on throughout the remainder of this guide.

How Does Google Work?

Google works in much the same way as described above. It crawls the web and indexes the content it finds. Then, when you search for something, it finds matching results and algorithmically ranks them by relevance in a fraction of a second.

Google works so well as a search engine because of three things:

First, they crawl and re-crawl the web at a grander scale than anyone else. This has allowed them to build and maintain the largest and freshest index on the planet. Second, they’ve invested heavily in language models that allow them to understand the true meaning behind even the most obscure or incorrect queries. Third, and most crucially, their ranking algorithms arguably return the most relevant results of all search engine.

How Google’s Search Algorithms Work

Google looks at hundreds of factors to find and rank relevant content. Nobody knows what all of these are, but we do know about the key ones. Let’s discuss a few of them.

Topical relevance

Google states that when a web page contains the same keywords as the search query, especially in prominent positions like headings, then that’s a sign of relevance.

Search intent

Google knows that people perform searches for a reason, and that understanding this reason helps them return better search results and creates more satisfied users. In other words, they work hard to rank content that users expect to see.

Content style

Content style can be divided into three buckets: videos, images, and text-based content. For most queries, the dominant and most desirable style of content in the results is quite clear cut.

Content type

Content type usually falls into one of four buckets: blog posts, product, category, and landing pages.

Final thoughts

Many people chase search engine algorithms, continually looking for loopholes that allow them to rank with relative ease. While this sometimes works for a short while, it rarely works long term and can even result in a dreaded Google penalty. The key to ranking long-term is to focus on creating content that delivers the best information for the target keyword, and the best user experience.