Search engines entirely depend on web spiders to retrieve documents and files from the web. Web crawlers work on perusing all the available web pages found on the web and building a list of documents and programs through a process known as web crawling.
Web crawlers start collecting information from the most popular used pages and the servers with high traffic. By visiting a favorite site, spiders follow every link within a site and indexing every word on their pages.
The birth of Google Search Engine
Google is one of the top-ranked search engines that started over as an academic platform. According to a release that was made regarding how Google was developed, Lawrence Page and Sergey Brin imply that the initial system was built to use two or three web crawlers at a time. Each crawler was developed to maintain an approximate of 320 connections to the Web pages running at once.
Google hit the headlines when it used four spiders, and their system could cut across over 99 pages per second. During that time, the system generated an approximate of 600 kilobytes of reports per second. The debut Google system worked on providing some URLs to the web spiders via a server. To minimize the maximum time taken before an online user gets their documents and programs, Google had their Domain Name Server (DNS).
By looking and analyzing an HTML page, Google noted on the number of words within a page, and the specific location of words. Words reflecting in the meta tags and subtitles were prioritized during a users search. Google spider was developed to index words of utmost importance without including articles “the,” “a,” and “an”. However, other web crawlers take a different approach of indexing significant words as compared to Google.
To make the searching experience great, Lycos used the approach of tracking the phrase included in the meta tags and marking the top 100 most used words. When it comes to AltaVista, the approach is entirely different. The indexing process entails every word included on a page, not to mention articles “an,” “a,” and “the”.
The future search
According to Boolean operators, the engine checks on the phrases and words as they are entered by a user. Literal search that works on eliminating unwanted searches helps to find the best result on the Web. Concept-based searching is of utmost importance when it comes to searching for information. This research works on using statistical analysis on the pages containing the phrases you are interested in.
Impacts of meta tags on web search
Meta tags play a vital role when it comes to content marketing. Meta tags allow website owners to specify converting keywords and phrases to be indexed. Spiders identify meta tags that do not correlate with the content and vice versa. The importance of meta tags cannot be snubbed. They play a part in the identification of the correct phrases matching the user’s search.
Web search engines work by reducing the time required for online visitors to find content and computer programs. In the past, getting valuable information and programs from the web implied that you had to know how Veronica and Archie worked. In the modern world, a good number of internet users entirely limits themselves to the Web, a key factor that has contributed to the growth of web search engines.