Questions On Search Engines By A Search Engine

There seems to be a never-ending quest for knowledge in this century. Fortunately, data is obtained effortlessly with the advent of the Internet. The Internet has become such a factor in everyday life; it is hard to remember how anyone managed the day-to-day task without this tool. The creation of search engines has opened up a whole world of information to those who seek knowledge.

The « Page Rank », is the first successful explanation. The mechanism of the Page rank is globally the following, the most linked the website is, and the most popular it is, the highest the Page rank is. With those tools, the results are the most useful on the web.

Bi et al \cite{Rec:Bi} provides ranked related entities to the user query along with the results of the main entity. In order to do this, this articles makes use of user's search history, click history and knowledge base. A matrix is created comprising of the user information which connects to the entities along with the ranking, click results. A tri-linear function\cite{Rec:Bi} is defined mapping these details and which will be used to rank the related entities

With the advent of computer technology in 1990’s the need to search large databases was increasingly becoming vital. The search engines prior to PageRank had limitations, the then most widely used algorithm used text based indexes to provide search results on World Wide Web however had limitations of improper search results as the logic used by the search engines looked at the number of occurrences of the search word in webpage which sometimes resulted in improper search results. Another technique used during the time was based on variations of standard vector space model – i.e. search based on how recent the webpage was updated and/or how close the search terms are to the

More importantly, she mainly covers why Google is the most efficient search engine and how it operates more accurately than other engines and Web browsers. Kraft shares the same positive outlook on Google as the preferred search engine as is evidenced in this paper.

A Web crawler, sometimes called a spider, is an Internet bot that systematically browses the World Wide Web, typically for the purpose of Web indexing. Crawlers can validate hyperlinks and HTML code. They can also be used for web scraping. Crawlers consume resources on the systems they visit and often visit sites without approval. Issues of schedule, load, and "politeness" come into play when large collections of pages are accessed. Mechanisms exist for public sites not wishing to be crawled to make this known to the crawling

Google’s search engine allows users to input and submit data online. In return, the user would receive relevant search results. Behind the scenes upon the submission, web crawlers scan through billions of pages and link keywords from a user’s data to the publish data on the web. Their PageRank technology ranks these pages by the number and popularity of other sites that link to the page. This provides the user with accurate and popular results. Google search engines generated high revenues between advertising on its websites and selling its technology to other sites.

When many student go on and search on the web, the web can bring up false information which can lead the student to get the wrong ideas. Search engines are so simple, you just type in couple of words and it can bring thousands and millions of answers or information. Google for example has 3+ billion URL’s to search in, common words such as “a, an, in, to, the” are not searched since they are so common. The way that the engines work is once you type in the word or phrase the engines send out a software program known as spider, crawler or robot.

The Internet is vast. To the casual user, the Internet represents the collection of those websites accessible via search engines such as Google or Bing. Search engines function by utilization of a web crawler which locates and indexes linked pages that are then provided as search results when it meets a particular search’s criteria. But, those web crawlers are only able to identify static pages, leaving out the dynamic pages of the deep web. Imagine a commercial fishing trawler on the open ocean pulling in its catch. The trawler only gathers fish from just barely below the surface and misses the massive

Our reliance on the Internet is becoming too much for our own good. With no end in sight on advances to the Internet, there is no real way to know the impact the Internet is having, “Where does it end? Sergey Brin and Larry Page, the gifted young men who founded Google while pursuing doctoral degrees in computer science at Stanford, speak frequently of their desire to turn their search engine into an artificial intelligence, a HAL-like machine that might be

Search engines got their grip on the internet in the early 1990s, the most popular of them being browsers such as Google or Bing. These websites channel information

(King-Lup Liu, 2001) Given countless motors on the Internet, it is troublesome for a man to figure out which web search tools could serve his/her data needs. A typical arrangement is to build a metasearch motor on top of the web indexes. After accepting a client question, the metasearch motor sends it to those fundamental web indexes which are liable to give back the craved archives for the inquiry. The determination calculation utilized by a metasearch motor to figure out if a web index ought to be sent the inquiry ordinarily settles on the choice in light of the web search tool agent, which contains trademark data about the database of a web search tool. Be that as it may, a hidden web index may not will to give the required data to the metasearch motor. This paper demonstrates that the required data can be evaluated from an uncooperative web crawler with great exactness. Two bits of data which license precise web crawler determination are the quantity of reports filed by the web index and the greatest weight of every term. In this paper, we display systems for the estimation of these two bits of data.

SEO is a crucial part to all companies interested in website design, content strategy and page ranking. Google ranks search engine results based on content, mobile experience, page speed, backlinks and other various technical aspects.

It is possible to find plenty of sites very easily. In other words, the more votes for a website, the worthier the website is in the view of Google. It appears expensive. however, it can provide your site an opportunity to succeed in the Yahoo search result. You may use many well-known sites to boost SERP.

Following the success of Netscape and its web browser, Internet became a resource and communication platform idolized by many IT students in the universities. What started off as a hobby-cum-research[1] work by Jerry Yang (now Chief of Yahoo!) and David Filo (Co-founder of Yahoo!) for their Ph.D. dissertations; has evolved and became an Internet sensation over time. What they did was to compile all their favourite web links to form an online directory for easy navigation in the World Wide Web. The duo’s work immediately garnered a lot of attention from many surfers in the Internet world and before they realized it, Yahoo! became one of the most highly visited websites of all time. The duo saw the