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Search Engine

Introduction:
The web creates new challenges for information retrieval. The amount of information on the web is growing rapidly, as well as the number of new users inexperienced in the art of web research. People are likely to surf the web using its link graph, often starting with high quality human maintained indices such as Yahoo! Or Google or other search engines. Automated search engines that rely on keyword matching usually return too many low quality matches. To make matters worse, some advertisers attempt to gain people's attention by taking measures meant to mislead automated search engines.
Definitions and Terms Used
Computer Algorithms: When you are telling the computer what to do, you also get to choose how it's going to do it. That's where computer algorithms come in. The algorithm is the basic technique used to get the job done.

Page Rank: A method developed and patented by Stanford University and Larry Page (co-founder of Google) to rank search engine results. PageRank gives a unique ranking to every page on the internet. The ranking number is based on the number and quality of inbound links pointing at a page amongst other factors.
Spider: a robotic browser like program that downloads webpages.
Crawler: a wandering spider that automatically follows links found on pages.
Indexer: a blender like program that dissects webpages that are downloaded by spiders.
Database: a warehouse of the pages downloaded and processed.

What is search engine?
A Web search engine is a search engine designed to search for information on the World Wide Web. Information may consist of web pages, images, information and other types of files. Some search engines also mine data available in news books, databases, or open directories. Unlike Web directories, which are maintained by human editors, search engines operate algorithmically or are a mixture of algorithmic and human input.
Every page on the Internet has a minimum PageRank score just for...