A Case Study in Web Search using TREC Algorithms - Paper from WWW10 by Google employees Amit Singhal and Marcin Kaszkiel. 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. United States Patent: 6,526,440 - Ranking search results by reranking the results based on local inter-connectivity. Inventor Krishna Bharat; assignee Google. 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. 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. 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. 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. PageRank Calculation Techniques - Paper by T. Haveliwala, describing efficient techniques for computing PageRank. An Analysis of Factors Used in Search Engine Ranking - Investigates the influence of different page features on the ranking of Google search engine results. 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. Finding Near-replicas of Documents on the Web - By Narayanan Shivakumar and Hector Garcia-Molina. Available in Postscript format. Papers by Googlers - Google supplies a partial list of papers written by people now at Google. 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. Efficient Crawling Through URL Ordering - Paper by Junghoo Cho, Hector Garcia-Molina, and Lawrence Page. Available in Postscript, PDF, and plain text formats. [PDF] Dynamic Data Mining: Exploring Large Rule Spaces by Sampling - Paper by Sergey Brin and Lawrence Page, available in Postscript, PDF, and plain text formats. 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.