The Stanford WebBase is a project that has grown out of a close collaboration between the Data Mining Group and the Digital Libraries Group. It is a huge repository of Web pages that is stored locally and allows for fast processing over the entire data set. It has proven to be an invaluable research tool that has culminated in the PageRank algorithm, the Google Search Engine, the DIPRE algorithm, and more.
We will discuss our experiences with the WebBase and Google and we will talk about where this technology will go in the future when all of human knowledge will fit in your shirt pocket. For more information see our class.
About the speaker:
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.
Contact information:
Sergey Brin and Larry Page
Computer Science Department, Gates 420
Stanford, CA 94305
(650)723-9273
(650)725-2588
sergey@cs.stanford.edu page@cs.stanford.edu