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| Category | Value | ||
| Available via | http://dbpubs.stanford.edu/pub/2003-26 | ||
| Submitted on | 28th of April 2003 | ||
| Author | Kamvar, Sepandar; Haveliwala, Taher; Golub, Gene | ||
| Title | Adaptive Methods for the Computation of PageRank | ||
| Date of publication | 28th of April 2003 | ||
| Citation | Kamvar, Sepandar; Haveliwala, Taher; Golub, Gene. Adaptive Methods for the Computation of PageRank, | ||
| Number of pages | 15 | ||
| Language | English | ||
| Project | Stanford InfoLab; Database Group; Natural Language Processing Group | ||
| Type | Technical Report | ||
| Subject group | Databases and the Web | ||
| Abstract | We observe that the convergence patterns of pages in the PageRank algorithm have a nonuniform distribution. Specifically, many pages converge to their true PageRank quickly, while relatively few pages take a much longer time to converge. Furthermore, we observe that these slow-converging pages are generally those pages with high PageRank. We use this observation to devise a simple algorithm to speed up the computation of PageRank, in which the PageRank of pages that have converged are not recomputed at each iteration after convergence. This algorithm, which we call Adaptive PageRank, speeds up the computation of PageRank by nearly 30\%. | ||
| Keywords | PageRank, web search | ||
| Contact address | sdkamvar@stanford.edu | ||
| Fulltext source |
| Management of the document by | siroker@db.stanford.edu
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