Documents written by Lawrence Page, Sergey Brin, and their colleagues at Stanford University, California, U.S, which formed the basis of the Google search engine.
The Google File System
Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung describe the scalable distributed file system that they designed and implemented for Google. [pdf]
Papers by Googlers
Google supplies a partial list of papers written by people now at Google.
Method for Node Ranking in a Linked Database
United States Patent 7,058,628, granted to Lawrence Page, which incorporates material from two earlier patents relating to the PageRank system used by Google. (June 06, 2006)
An Analysis of Factors Used in Search Engine Ranking
Investigates the influence of different page features on the ranking of Google search engine results. [PDF] (May 01, 2005)
The Nature of Meaning in the Age of Google
Terrence A. Brooks writes a paper about how search engines are changing the way we understand the world around us. (April 01, 2004)
WWW2003: Detecting Near-replicas on the Web by Content and Hyperlink Analysis
Paper by Ernesto Di Iorio, et. al. proposing a technique for finding lists of similar documents, based on a pair of signatures which take into account both the document contents and the hyperlink structure. (March 01, 2003)
United States Patent: 6,526,440
Ranking search results by reranking the results based on local inter-connectivity. Inventor Krishna Bharat; assignee Google. (February 25, 2003)
Building a Distributed Full-Text Index for the Web
Paper from WWW10 by Sergey Melnik, Sriram Raghavan, Beverly Yang, Hector Garcia-Molina from the Computer Science Department at Stanford University. (May 01, 2001)
A Case Study in Web Search using TREC Algorithms
Paper from WWW10 by Google employees Amit Singhal and Marcin Kaszkiel. (May 01, 2001)
Computing Iceberg Queries Efficiently
Paper by Min Fang, Narayanan Shivakumar, Hector Garcia-Molina, Rajeev Motwani, and Jeffrey D. Ullman, developing efficient execution strategies for a class of queries which perform an aggregate function over an attribute (or set of attributes) and then eliminates aggregate values that are below some specified threshold. [PDF] (November 11, 1999)
Dynamic Data Mining: Exploring Large Rule Spaces by Sampling
Paper by Sergey Brin and Lawrence Page, available in Postscript, PDF, and plain text formats. (November 11, 1999)
The PageRank Citation Ranking: Bringing Order to the Web
Stanford paper by Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd, describing PageRank as a static ranking, performed at indexing time, which interprets a link as a vote. Available in Postscript, PDF, and plain text formats. (November 11, 1999)
PageRank Calculation Techniques
Paper by T. Haveliwala, describing efficient techniques for computing PageRank. [PDF] (September 01, 1999)
The Anatomy of a Large-Scale Hypertextual Web Search Engine
The definitive paper by Sergey Brin and Lawrence Page describing PageRank, the algorithm that was later incorporated into the Google search engine. (April 10, 1998)
Efficient Crawling Through URL Ordering
Paper by Junghoo Cho, Hector Garcia-Molina, and Lawrence Page. Available in Postscript, PDF, and plain text formats. [PDF] (April 01, 1998)
Finding Near-replicas of Documents on the Web
By Narayanan Shivakumar and Hector Garcia-Molina. Available in Postscript format. (March 01, 1998)
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March 4, 2016 at 6:24:05 UTC
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