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The PageRank Citation Ranking: Bringing Order to the Web  - http://dbpubs.stanford.edu:8090/pub/1999-66  By Page, Lawrence; Brin, Sergey; Motwani, Rajeev; Winograd, Terry. Available in Postscript, PDF, and plain text formats.  Dynamic Data Mining: Exploring Large Rule Spaces by Sampling  - http://dbpubs.stanford.edu:8090/pub/1999-68  By Brin, Sergey; Page, Lawrence. Available in Postscript, PDF, and plain text formats.  A Case Study in Web Search using TREC Algorithms  - http://www10.org/cdrom/papers/317/  Paper from WWW10 by Google employees Amit Singhal and Marcin Kaszkiel.  Building a Distributed Full-Text Index for the Web  - http://www10.org/cdrom/papers/275/  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  - http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=/netahtml/search-bool.html&r=1&f=G&l=50&co1=AND&d=ptxt&s1=6,526,440&OS=6,526,440&RS=6,526,440  Ranking search results by reranking the results based on local inter-connectivity. Inventor Krishna Bharat; assignee Google.  Extrapolation Methods for Accelerating PageRank Computations  - http://www.stanford.edu/~sdkamvar/papers/extrapolation.pdf  This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub, published in WWW13, presents an algorithm to speed up the computation of PageRank by making some initial approximations.  Exploiting the Block Structure of the Web for Computing PageRank  - http://www.stanford.edu/~sdkamvar/papers/blockrank.pdf  This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub presents an algorithm to vastly speed up the computation of PageRank.  The Second Eigenvalue of the Google Matrix  - http://www.stanford.edu/~sdkamvar/papers/secondeigenvalue.pdf  This paper by Sepandar Kamvar and Taher Haveliwala proves analytically the second eigenvalue of the Google Matrix, which has implications for the PageRank algorithm.  Adaptive Methods for the Computation of PageRank  - http://www.stanford.edu/~sdkamvar/papers/adaptive.pdf  This paper by Sepandar Kamvar, Taher Haveliwala, and Gene Golub describes an algorithm to speed up the computation of PageRank using the fact that pages converge at different rates.  The Google File System  - http://www.cs.rochester.edu/sosp2003/papers/p125-ghemawat.pdf  By Ghemawat, Sanjay; Gobioff, Howard; and Leung, Shun-Tak.  Papers by Googlers  - http://labs.google.com/papers.html  Google supplies a partial list of papers written by people now at Google.  The Nature of Meaning in the Age of Google  - http://informationr.net/ir/9-3/paper180.html  Terrence A. Brooks writes a paper about how search engines are changing the way we understand the world around us.  Topic-Sensitive PageRank  - http://www2002.org/CDROM/refereed/127/  Taher H. Haveliwala's paper for the 11th International World Wide Web Conference explains that Google proposes to make PageRank reflect importance with respect to a particular topic.  Computing Iceberg Queries Efficiently  - http://www.vldb.org/conf/1998/p299.pdf  By Fang, Min; Shivakumar, Narayanan; Garcia-Molina, Hector; Motwani, Rajeev; Ullman, Jeffrey D. "In this paper we develop efficient execution strategies for an important class of queries that we call iceberg queries. An iceberg query performs an aggregate function over an attribute (or set of attributes) and then eliminates aggregate values that are below some specified threshold."  Efficient Computation of PageRank  - http://www.stanford.edu/~taherh/papers/efficient-pr.pdf  By Haveliwala, T.  The Anatomy of a Large-Scale Hypertextual Web Search Engine  - http://www-db.stanford.edu/~backrub/google.html  By Brin, Sergey; Page, Lawrence.  Finding Near-replicas of Documents on the Web  - http://www-db.stanford.edu/~shiva/Pubs/web.ps  By Shivakumar, N.; Garcia-Molina, H. Available in Postscript format.  WWW2003: Detecting near-replicas on the Web by content and hyperlink analysis  - http://www2003.org/cdrom/papers/poster/p193/p193-diiorio-IE/p193-diiorio.html  Paper by Ernesto Di Iorio, et. al. "In this paper we propose a technique for finding lists of similar documents, and in particular replicas and near-replicas, based on a pair of signatures which take into account both the document contents and the hyperlink structure. "  Extracting Patterns and Relations from the World Wide Web  - http://maya.cs.depaul.edu/~classes/ect584/papers/brin.pdf  By Brin, Sergey.  Efficient Crawling Through URL Ordering  - http://www.csd.uch.gr/~hy558/papers/cho-order.pdf  By Cho, Junghoo; Garcia-Molina, Hector; Page, Lawrence. Available in Postscript, PDF, and plain text formats.