14 Facts About Internet search

The Internet search results are generally presented in a line of results, often referred to as Internet search engine results pages .

Unlike web directories and social bookmarking sites, which are maintained by human editors, Internet search engines maintain real-time information by running an algorithm on a web crawler.

System for locating published information intended to overcome the ever increasing difficulty of locating information in ever-growing centralized indices of scientific work was described in 1945 by Vannevar Bush, who wrote an article in The Atlantic Monthly titled "As We May Think" in which he envisioned libraries of reInternet search with connected annotations not unlike modern hyperlinks.

Web Internet search engines get their information by web crawling from site to site.

Between visits by the spider, the cached version of the page stored in the Internet search engine working memory is quickly sent to an inquirer.

Related searches

Typically when a user enters a query into a Internet search engine it is a few keywords.

Some Internet search engines provide an advanced feature called proximity Internet search, which allows users to define the distance between keywords.

Usefulness of a Internet search engine depends on the relevance of the result set it gives back.

How a Internet search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another.

The Internet search engines make money every time someone clicks on one of these ads.

Local Internet search is the process that optimizes the efforts of local businesses.

Since this problem has been identified, competing Internet search engines have emerged that seek to avoid this problem by not tracking or "bubbling" users, such as DuckDuckGo.

Web Internet search engine submission is a process in which a webmaster submits a website directly to a Internet search engine.

All tag-based classification of Internet search resources is done by human beings, who understand the content of the resource, as opposed to software, which algorithmically attempts to determine the meaning and quality of a resource.