Jump to Content
Lawrence Page

Lawrence Page

Larry Page was Google's founding CEO and grew the company to more than 200 employees and profitability before moving into his role as President, Products in April 2001. He continues to share responsibility for Google's day-to-day operations with Eric Schmidt and Sergey Brin.

The son of Michigan State University computer science professor Dr. Carl Victor Page, Larry's love of computers began at age six. While following in his father's footsteps in academics, he became an honors graduate from the University of Michigan, where he earned a bachelor of science degree in engineering, with a concentration on computer engineering. During his time in Ann Arbor, Larry built an inkjet printer out of Lego™ bricks.

While in the Ph.D. program in computer science at Stanford University, Larry met Sergey Brin and together they developed and ran Google, which began operating in 1998. Larry went on leave from Stanford after earning his master's degree.

In 2002, Larry was named a World Economic Forum Global Leader for Tomorrow. He is a member of the National Advisory Committee (NAC) of the University of Michigan College of Engineering, and together with Co-Founder Sergey Brin, Larry was honored with the Marconi Prize in 2004. He is a trustee on the board of the X PRIZE, and was elected to the National Academy of Engineering in 2004.

Research Areas

Authored Publications
results

Publications

Years

Research Areas

Teams

Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    The Anatomy of a Large-Scale Hypertextual Web Search Engine
    Sergey Brin
    Lawrence Page
    Computer Networks, 30 (1998), pp. 107-117
    Preview 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 http://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 them. 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. 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 to produce 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 they want. View details
    Search on Google Scholar