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Top / Computers / Internet / Searching / Search_Engines / Google / Research_Papers /

A Case Study in Web Search using TREC Algorithms Paper from WWW10 by Google employees Amit Singhal and Marcin Kaszkiel. http://www10.org/cdrom/papers/317/ Www10.org  ~   Site Info   Whois   Trace Route   RBL Check   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. http://www10.org/cdrom/papers/275/ Www10.org  ~   Site Info   Whois   Trace Route   RBL Check   United States Patent: 6,526,440 Ranking search results by reranking the results based on local inter-connectivity. Inventor Krishna Bharat; assignee Google. 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 Uspto.gov  ~   Site Info   Whois   Trace Route   RBL Check   Extrapolation Methods for Accelerating PageRank Computations 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. http://www.stanford.edu/~sdkamvar/papers/extrapolation.pdf Stanford.edu  ~   Site Info   Whois   Trace Route   RBL Check   Exploiting the Block Structure of the Web for Computing PageRank This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub presents an algorithm to vastly speed up the computation of PageRank. http://www.stanford.edu/~sdkamvar/papers/blockrank.pdf Stanford.edu  ~   Site Info   Whois   Trace Route   RBL Check   The Second Eigenvalue of the Google Matrix This paper by Sepandar Kamvar and Taher Haveliwala proves analytically the second eigenvalue of the Google Matrix, which has implications for the PageRank algorithm. http://www.stanford.edu/~sdkamvar/papers/secondeigenvalue.pdf Stanford.edu  ~   Site Info   Whois   Trace Route   RBL Check   Adaptive Methods for the Computation of PageRank 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. http://www.stanford.edu/~sdkamvar/papers/adaptive.pdf Stanford.edu  ~   Site Info   Whois   Trace Route   RBL Check   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. http://informationr.net/ir/9-3/paper180.html Informationr.net  ~   Site Info   Whois   Trace Route   RBL Check   Topic-Sensitive PageRank 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. http://www2002.org/CDROM/refereed/127/ Www2002.org  ~   Site Info   Whois   Trace Route   RBL Check   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 http://www.vldb.org/conf/1998/p299.pdf Vldb.org  ~   Site Info   Whois   Trace Route   RBL Check