Directory of Research Papers Resources

Home > Computers > Internet > Searching > Search Engines > Google > Research Papers

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.

Resources in This Category

• 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.

• An Analysis of Factors Used in Search Engine Ranking

  http://airweb.cse.lehigh.edu/2005/bifet.pdf
  Investigates the influence of different page features on the ranking of Google search engine results.

• 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.

• Computing Iceberg Queries Efficiently

  http://www.vldb.org/conf/1998/p299.pdf
  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.

• Dynamic Data Mining: Exploring Large Rule Spaces by Sampling

  http://ilpubs.stanford.edu:8090/424/
  Paper by Sergey Brin and Lawrence Page, available in Postscript, PDF, and plain text formats.

• Efficient Crawling Through URL Ordering

  http://ilpubs.stanford.edu:8090/347/
  Paper by Junghoo Cho, Hector Garcia-Molina, and Lawrence Page. Available in Postscript, PDF, and plain text formats. [PDF]

• Finding Near-replicas of Documents on the Web

  http://infolab.stanford.edu/~shiva/Pubs/web.ps
  By Narayanan Shivakumar and Hector Garcia-Molina. Available in Postscript format.

• Method for Node Ranking in a Linked Database

  http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/PTO/srchnum.htm&r=1&f=G&l=50&s1=7,058,628.PN.&OS=PN/7,058,628&RS=PN/7,058,628
  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

  http://www-cs-students.stanford.edu/~taherh/papers/efficient-pr.pdf
  Paper by T. Haveliwala, describing efficient techniques for computing PageRank.

• Papers by Googlers

  http://research.google.com/pubs/papers.html
  Google supplies a partial list of papers written by people now at Google.

• The Anatomy of a Large-Scale Hypertextual Web Search Engine

  http://infolab.stanford.edu/~backrub/google.html
  The definitive paper by Sergey Brin and Lawrence Page describing PageRank, the algorithm that was later incorporated into the Google search engine.

• The Google File System

  http://www.cs.rochester.edu/meetings/sosp2003/papers/p125-ghemawat.pdf
  Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung describe the scalable distributed file system that they designed and implemented for 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.

• The PageRank Citation Ranking: Bringing Order to the Web

  http://ilpubs.stanford.edu:8090/422/
  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.

• 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.

• 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. 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.

 

Home > Computers > Internet > Searching > Search Engines > Google > Research Papers

 

---

 

Thanks to DMOZ, which built a great web directory for nearly two decades and freely shared it with the web. About us