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Featured Websites in this category
http://dbpubs.stanford.edu:8090/pub/1999-66
Featured Site The PageRank Citation Ranking: Bringing Order to the Web Open in a new browser windowLink Details
- First Stanford paper about PageRank. It is a static ranking, performed at indexing time, which interprets a link from page A to page B as a vote, by page A, for page B. Web is seen as a direct graph and votes recursively propagate from nodes to nodes. Ran
- http://dbpubs.stanford.edu:8090/pub/1999-66

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http://www.cs.cornell.edu/home/kleinber/auth.pdf
Featured Site Authoritative Sources in a Hyperlinked Environment Open in a new browser windowLink Details
- HITs is a link-structure analysis algorithm which ranks pages by "authorities" (pages which have many incoming links and provide the best source of information on a given topic) and "hubs" (pages which have many outgoing links and prov
- http://www.cs.cornell.edu/home/kleinber/auth.pdf

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Regular Websites in this category

DiscoWeb: Discovering Web Communities Via Link Analysis Open in a new windowLink Details
- This paper describes a prototype system, later known as the Teoma Search Engine. It performs a Link Analysis, loosely based on the Kleimberg method, and computed at query time.
- http://www.research.rutgers.edu/~davison/discoweb/

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WWW2003 - Scaling Personalized Web Search Open in a new windowLink Details
- Presentation paper. Link Popularity algorithms biased according to a user-specified set of given interesting pages.
- http://www2003.org/cdrom/papers/refereed/p185/html/p185-jeh.html

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PageRank Calculation with Lossy Encoding Open in a new windowLink Details
- Lossy encoding for large scale PageRank calculation.
- http://www-db.stanford.edu/~taherh/papers/encoding-pagerank.pdf

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Topic -Sensitive Page Rank Open in a new windowLink Details
- Integrates ODP data in PageRank calculation for performing query time probabilistic ranking.
- http://www2002.org/CDROM/refereed/127/

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Extrapolation Methods for Accelerating PageRank Computations Open in a new windowLink Details
- A paper about the computation of PageRank using the standard Power Method and the new Quadratic Extrapolation which computes the principal eigenvector of the Markov matrix representing the Web link graph with an increased speed up of about 50-300%.
- http://www.stanford.edu/~sdkamvar/papers/extrapolation.pdf

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The World’s Largest Matrix Computation Open in a new windowLink Details
- "Google's PageRank is an eigenvector of a matrix of order 2.7 billion"
- http://www.mathworks.com/company/newsletters/news_notes/clevescorner/oct02_cleve.html

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Improved Algorithms for Topic Distillation in Hyperlinked Environments Open in a new windowLink Details
- Given a typical user query to find quality documents related to the query topic. It uses an Hits variation.
- http://gatekeeper.dec.com/pub/DEC/SRC/publications/monika/sigir98.pdf

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Larry Page Describes PageRank Open in a new windowLink Details
- Postscript-format slides which introduces citation importance ranking by Larry Page, Google's founder.
- http://www-db.stanford.edu/~backrub/pageranksub.ps

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The EigenTrust Algorithm for Reputation Management in P2P Networks Open in a new windowLink Details
- An eingenvalues algorithm for calculating reputation in P2P networks and isolating malicious peers. There is a relationship with PageRank algorithm.
- http://www.stanford.edu/~sdkamvar/papers/eigentrust.pdf

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Adaptive On-Line Page Importance Computation Open in a new windowLink Details
- A good explanation about the convergence of various algorithms. This paper also describes an adaptive and on-line algorithm for computing the page importance. It can be used for focus crawling as well as for search engine's ranking.
- http://www2003.org/cdrom/papers/refereed/p007/p7-abiteboul.html

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PageRank U.S. Patent 6,285,999 Open in a new windowLink Details
- Lawrence Page's PageRank Patent.
- http://patft.uspto.gov/netacgi/nph-Parser?patentnumber=6285999

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Finding Authorities and Hubs From Link Structures on the World Wide Web Open in a new windowLink Details
- A survey on PageRank, Hits and SALSA. It also describes two Bayesian statistical algorithms for ranking of hyperlinked documents and the concepts of monotonicity and locality, as well as various concepts of distance and similarity between ranking algorith
- http://www10.org/cdrom/papers/314/

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Survey on Google's PageRank Open in a new windowLink Details
- Information on the algorithm, how to increase PageRank, what diminishes it and how to distribute PageRank within a website.
- http://pr.efactory.de/

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Web-Trec 9 and Link Popularity Open in a new windowLink Details
- About the using of Link Popularity in Web Track 9 datasets. [PDF format]
- http://trec.nist.gov/pubs/trec9/papers/unine9.pdf

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Web-Trec 8 and PageRank Open in a new windowLink Details
- About the using of PageRank in Web Track 8 "large" and "small" datasets. [PDF format]
- http://trec.nist.gov/pubs/trec8/papers/acsys.pdf

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The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity Open in a new windowLink Details
- This paper describes a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives. [PDF format]
- http://www.cs.cmu.edu/~cohn/papers/nips00.pdf

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Probabilistic Combination of Content and Links Open in a new windowLink Details
- It introduces a probabilistic model that integrates link topology (used to identify important pages), anchor text (used to augment the text of cited pages), and activation (spread to linked pages). Experiments are on MSN Directory. [PDF format]
- http://research.microsoft.com/copyright/accept.asp?path=http://research.microsoft.com/~sdumais/SIGIR2001-LinksRevisedSubmitted.pdf&pub=ACM

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Improvement of HITS-based Algorithms on Web Documents Open in a new windowLink Details
- It proposes a new weighted HITS-based method that assigns appropriate weights to in-links of root documents and combines content analysis with HITS-based algorithms.
- http://www2002.org/CDROM/refereed/643/

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PageRank: A Circuital Analysis Open in a new windowLink Details
- It shows some theoretical results for understanding the distribution of the score in the Web according to PageRank. Seven golden rules for building good pages are presented. [PDF format]
- http://www2002.org/CDROM/poster/165.pdf

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Improvement to Clever Algorithm Open in a new windowLink Details
- A Kleimberg's algorithm improvement. [PDF format]
- http://www2002.org/CDROM/poster/171.pdf

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Web Page Scoring Systems for Horizontal and Vertical Search Open in a new windowLink Details
- "Random Surfer" model extension. At each step of traversal of the Web graph, the surfer can jump to a random node or follow a hyperlink or follow a back-link (a hyperlink in the inverse direction) or stay in the same node.
- http://www2002.org/CDROM/refereed/629/

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The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank Open in a new windowLink Details
- This method uses query dependent importance scores and a probabilistic approach to improve upon PageRank. It pre-computes importance scores offline for every possible text query. [PDF format]
- http://www.cs.washington.edu/homes/pedrod/papers/nips01b.pdf

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SALSA: The Stochastic Approach for Link-Structure Analysis Open in a new windowLink Details
- A focused search algorithm (SALSA) based on Markov chains. It starts with a query on a broad topic, discards useless links, and then weights the remaining terms. A stochastic crawl is used to discover the authorities on this topic. [PS format]
- http://www.cs.technion.ac.il/~moran/r/PS/lm-feb01.ps

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The Clever Project Open in a new windowLink Details
- The CLEVER search engine incorporates several algorithms that make use of hyperlink structure for discovering information on the Web. It is an extension of Hits method.
- http://www.almaden.ibm.com/cs/k53/clever.html

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What is this Page Known for? Computing Web Page Reputations, Open in a new windowLink Details
- PageRank and Hub and Authority generalization based on the topic of Web Pages. Definition of a model where a surfer can move forward (following an out-going link) and backward (following an in-going link in the inverse direction). [PS format]
- http://www.cs.ualberta.ca/~drafiei/papers/www9.ps

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PageRank Computation Methods Open in a new windowLink Details
- A poster paper by Stanford db group which describes iterative methods for calculating PageRank. [PDF format]
- http://www2002.org/CDROM/poster/173.pdf

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PageRank as a Random Walk Open in a new windowLink Details
- A general framework for measuring the quality of an index and providing the background on the PageRank and Random Walks. Imagine a Web surfer who wanders the Web. At each step, he/she either jumps to a page on the Web chosen uniformly at random, or follow
- http://www8.org/w8-papers/2c-search-discover/measuring/measuring.html

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