Stochastic models for web ranking

Y. Volkovich; D. Donato; Nelli Litvak

doi:10.1145/1328690.1328713

Stochastic models for web ranking

Y. Volkovich, D. Donato, Nelli Litvak

Stochastic Operations Research

Research output: Contribution to journal › Article › Academic › peer-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 language	Undefined
Article number	10.1145/1328690.1328713
Pages (from-to)	53-53
Number of pages	1
Journal	SIGMETRICS performance evaluation review
Volume	35
Issue number	67310A/3
DOIs	https://doi.org/10.1145/1328690.1328713
Publication status	Published - 2007

Keywords

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

Access to Document

10.1145/1328690.1328713

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

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