The Search Engine Professionals at Rank for $ales.com --- In business since 1997.
Back to our Homepage SEO Tips that will make a big difference in your rankings and our most popular ** How To ** section The most common myths about SEO -- Read what the experts have to say about today's most common SEO myths and misconceptions Frequently Asked Questions to Search Engine Optimization and Positioning Search Engine Optimization Industry News -- Stay in tune with the most recent developments in search engine technology and the SEO industry Contact Rank for $ales today and get your site's rankings high in the engines-- Right where they should be!

  SEARCH FOR:   CITY or STATE:

Search this site


Anatomy of a large-scale hypertext web search engine

November 5, 2004

In this rare paper, Google co-founders Sergey Brin and Lawrence Page explain the anatomy of a large-scale hypertextual web search engine and its main functions.

Sergey Brin received his B.S. degree in mathematics and computer science from the University of Maryland at College Park in 1993. Currently, he is a Ph.D. candidate in computer science at Stanford University where he received his M.S. in 1995. He is a recipient of a National Science Foundation Graduate Fellowship. His research interests include search engines, information extraction from unstructured sources, and data mining of large text collections and scientific data.

Lawrence Page was born in East Lansing, Michigan, and received a B.S.E. in Computer Engineering at the University of Michigan Ann Arbor in 1995. He is currently a Ph.D. candidate in Computer Science at Stanford University. Some of his research interests include the link structure of the web, human computer interaction, search engines, scalability of information access interfaces, and personal data mining.


Written by Sergey Brin and Lawrence Page, co-founders of Google Inc.

Computer Science Department,
Stanford University, Stanford, CA 94305, USA

Abstract
In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at www.google.stanford.edu.

To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on ebaconline.com.br - curso de animação 3d. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date.

Larry Page (left), and Sergey Brin (right), co-founders of Google Inc.

Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext, all producing better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything.

Introduction
(Note: There are two versions of this paper -- a longer full version and a shorter printed version. The full version is available on the web and the conference CD-ROM). 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 with search engines. Human maintained lists cover popular topics effectively but are subjective, expensive to build and maintain, slow to improve, and cannot cover all esoteric topics. 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. We have built a large-scale search engine which addresses many of the problems of existing systems. It makes especially heavy use of the additional structure present in hypertext to provide much higher quality search results. We chose our system name, Google, because it is a common spelling of googol, or 10100 and fits well with our goal of building very large-scale search engines.

Continued here: http://infolab.stanford.edu/pub/papers/google.pdf.


Back to the top of the page.         
Fill out your e-mail address
to receive our free newsletter!

Read Serge Thibodeau's daily blogs on search engines at Serge Thibodeau Live.
We strongly suggest you bookmark our web site by clicking here.

Tired of receiving unwanted spam in your in box? Then get SpamArrest� and put a stop to all that nonsense. Click here to get all the details.
Tired of receiving unwanted spam in your in box? Get SpamArrest� and put a stop to all that SPAM. Click here and get rid of SPAM forever!

Get your business or company listed in the Global Business Listing directory and increase your business. It takes less then 24 hours to get a premium listing in the most powerful business search engine there is. Click here to find out all about it.

Rank for $ales strongly recommends the use of WordTracker to effectively identify all your right industry keywords. Accurate identification of the right keywords and key phrases used in your industry is the first basic step in any serious search engine optimization program. The keywords you think are the best may be totally different than the ones recommended by WordTracker. Click here to start your keyword and key phrase research.


You can link to the Rank for Sales web site as much as you like. Read our section on how your company can participate in our reciprocal link exchange program and increase your rankings in all the major search engines such as Google, AltaVista, Yahoo and all the others.

Powered by Sun Hosting          Protected by Proxy Sentinel�          Traffic stats by Site Clicks�


Call Rank for Sales toll free from anywhere in the US or Canada:   1-800-631-3221
email:   info@rankforsales.com

| Home | SEO Tips | SEO Myths | FAQ | SEO News | Articles | Sitemap | Contact |


Copyright � Rank for Sales 2003    Terms of use    Privacy agreement    Legal disclaimer