Larry Page Describes PageRank
Postscript-format slides which introduces citation importance ranking by Larry Page, Google's founder.
Link Analysis, Eigenvectors, and Stability
Do Hits and PageRank (and some variations) give stable rankings under small perturbations to the linkage patterns? [PS format]
PageRank Calculation with Lossy Encoding
Lossy encoding for large scale PageRank calculation.
Probabilistic Combination of Content and Links
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…
The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank
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. […
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
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…
The PageRank Citation Ranking: Bringing Order to the Web
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…
Web-Trec 8 and PageRank
About the using of PageRank in Web Track 8 "large" and "small" datasets. [PDF format]
Web-Trec 9 and Link Popularity
About the using of Link Popularity in Web Track 9 datasets. [PDF format]