Stochastic models for web ranking

Y. Volkovich, D. Donato, Nelli Litvak

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Web search engines need to deal with hundreds and thousands of pages which are relevant to a user's query. Listing them in the right order is an important and non-trivial task. Thus Google introduced PageRank [1] as a popularity measure for Web pages. Besides its primary application in search engines, PageRank also became a major method for evaluating importance of nodes in different informational networks and database systems.
Original languageUndefined
Article number10.1145/1328690.1328713
Pages (from-to)53-53
Number of pages1
JournalSIGMETRICS performance evaluation review
Volume35
Issue number67310A/3
DOIs
Publication statusPublished - 2007

Keywords

  • EWI-11636
  • MSC-68P10
  • IR-62079
  • MSC-90B15
  • METIS-245891
  • MSC-80J80

Cite this

Volkovich, Y., Donato, D., & Litvak, N. (2007). Stochastic models for web ranking. SIGMETRICS performance evaluation review, 35(67310A/3), 53-53. [10.1145/1328690.1328713]. https://doi.org/10.1145/1328690.1328713
Volkovich, Y. ; Donato, D. ; Litvak, Nelli. / Stochastic models for web ranking. In: SIGMETRICS performance evaluation review. 2007 ; Vol. 35, No. 67310A/3. pp. 53-53.
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Volkovich, Y, Donato, D & Litvak, N 2007, 'Stochastic models for web ranking' SIGMETRICS performance evaluation review, vol. 35, no. 67310A/3, 10.1145/1328690.1328713, pp. 53-53. https://doi.org/10.1145/1328690.1328713

Stochastic models for web ranking. / Volkovich, Y.; Donato, D.; Litvak, Nelli.

In: SIGMETRICS performance evaluation review, Vol. 35, No. 67310A/3, 10.1145/1328690.1328713, 2007, p. 53-53.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Donato, D.

AU - Litvak, Nelli

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KW - MSC-68P10

KW - IR-62079

KW - MSC-90B15

KW - METIS-245891

KW - MSC-80J80

U2 - 10.1145/1328690.1328713

DO - 10.1145/1328690.1328713

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