AI writes on ‘Search Engine’

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AI writes on ‘Search Engine’

Search Engines is a software system that helps to carry out web searches. They search the World Wide Web in a systematic way for particular information specified by users, such as a list of web sites, news stories, a map, a directory listing or a biography of a celebrity. They are web search engines that search using a spider to systematically index the content of web sites. The term “search engine” can be used for the software system, the service that delivers web content, or both. In recent years, search engine optimization (SEO) has become a very popular way for web site owners to attract more traffic to their web sites. SEO is the process of optimizing web pages so that they will be listed higher and receive more web traffic by search engines like Google.
Search engine services, or “search engine” as they are sometimes called, are an integral part of internet services. They help people and businesses find the information they need on the internet, as well as providing a means for websites to find other websites that meet their needs.
Most search engine services allow users to search for a business, person or any topic that may be deemed to be relevant to their particular needs at that time. Most often, when a user wants to find information on a particular business, the user uses a search engine to perform a web search to locate the business’s web site. The web site contains a number of pages, some of which have links to other pages.
Some websites, such as a home page for an individual, may be organized into topics (also known as categories) in which the site owner wants to highlight certain topics that are of importance. When a user enters a word into the search engine, it will retrieve any web pages that contain that word, or words similar to that word, if the pages were created before the creation of the topic.
Search engines typically present their search results to the user in the form of a list of links to web pages. Each link in the list is usually associated with a “title” of the web page, which is a short summary that describes the contents of the web page to some degree. The summary might not provide any other useful information, however.
The goal of search engine services is to return to the user links to web pages in which the user is interested. This process is known as information retrieval. In general, the search engine processes a user query to identify websites that are related to the query. The process of generating a quality list of web sites is known as “search engine optimization.” Search engine optimization techniques used by search engines may include processing search queries, finding and indexing new or changing content on existing websites, organizing search results, making repeat searches more effective, and providing web site promotion and link removal services. The processes of finding new or changing content on websites and providing web site promotion and link removal services are often referred to as “link popularity services.”
The process of web searching typically comprises several phases. First, a user issues a query to a search engine service and enters one or more words that they wish to search for on the World Wide Web. Next, the search engine, using various algorithms, attempts to identify relevant web pages containing the words or other search terms specified by the user.
The information on each web page may be stored on the web server at the site. Web servers contain software that sends the data in web pages to browsers and other clients. Browsers are programs that make the information on the web pages accessible to people. The information may be in HTML format. In HTML, a “web page” refers to a file that can display information. For example, a web page may contain text, graphics, logos, images and links to other web pages. Some web pages also include sounds, like the beeping of a fax machine or music, or other multimedia information, such as the video or audio of a television broadcast.
After the search engine has indexed the web pages, the search engine sends a “referring” web page to the client that issued the query. The referring web page contains the search terms entered by the client. A link to the indexed web page appears in a list of the search results. The search results typically include a set of text links to the indexed web pages, where each link includes the title of the indexed web page. Other information about the indexed web pages may also be presented in the search results.
In many cases, the user may simply want to find a particular site on the World Wide Web that matches certain keywords, such as “mortgage lender” or “travel.” However, if the user enters such a broad search request as “mortgage lender,” there is a risk that the web server that receives the request will return a large number of search results. The user must then sort through the returned results to find the web site they want to find.
A more focused search request could limit the results of the search. One such method is to limit the number of sites that are returned in the search results. In a typical search engine, the number of sites that is returned may be based on a number of factors, including the popularity of the search term among other users, the number of times a web page has been indexed, the number of links to that web page, or the like. In such cases, the user can limit the number of sites returned in the search results, thereby improving the quality of the sites that are returned.
The search engines may not be very good at identifying a particular web site as being a highly relevant site for the user’s request. Users may not always be familiar with the most popular web sites and may be interested in finding web sites that are less popular.
A problem with many search engine systems is that they return too many web sites to the user as search results. The user must then sift through the search results to determine the most relevant sites.
Search engine services usually provide tools for users to “manage” their results, to identify and exclude the search results that they are not interested in. The user usually selects a few of the links to “favorite” web sites or pages. The favorite web sites will be saved for easy recall. When a user receives a new search query from a web browser, the search engine will retrieve the “favorite” web pages and display them as search results. This is called “favoriting” the web pages. The user may unfavorite a page after viewing it by deleting the link to the page.
Users may also use other means to limit the number of sites they are shown, such as by adding search parameters. For example, a user may limit the search to sites that use the English language. A user could limit the sites to those from the U.S. or those that use a certain type of web server. The user can limit the search to sites that were added within the last few weeks. A user can limit the search to sites that do not include certain words or terms, such as the name of a person or company. However, the user must manually perform all these functions.
The process of managing search results can be very time consuming. The number of sites that a user may “favorite” may be limited. For each new search query, the user may have to re-favorite the web pages that they are interested in, or manually exclude web sites that are not relevant to the user’s search. Furthermore, users are usually shown only a few of the first few links that are returned as the search results. After the user clicks on one of the links, the site will be retrieved and presented to the user as a web page. The user must then “click through” all the pages on the site, one at a time, to read and evaluate the content. The site may have many links. It can be a long time before the user reaches the first page they are interested in viewing. For each page viewed, the user may have to re-select which search results to “favorite.” In addition, after the first page of search results is presented, the user may have to wait a long time for other links to be presented as search results. Because a user’s request usually includes a long list of words, the user may have to wait for many pages to be returned as search results.
One problem with a search engine is that it may return links to web sites that are irrelevant to the query. A user may be looking for a particular company that is in the business of lending money and the user enters the search query “mortgage lender.” The search engine returns the names and web sites for companies that are in a related business, such as “credit bureau,” “credit card lender,” and “debt management,” but also includes web sites for other companies that are in a different business, such as a web site for a mortgage broker and a web site for a software company.

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