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PageRank and Interaction Information Retrieval

✍ Scribed by Sándor Dominich; Adrienn Skrop

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
103 KB
Volume
56
Category
Article
ISSN
1532-2882

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

The PageRank method is used by the Google Web search engine to compute the importance of Web pages. Two different views have been developed for the interpretation of the PageRank method and values: (a) stochastic (random surfer): the PageRank values can be conceived as the steady‐state distribution of a Markov chain, and (b) algebraic: the PageRank values form the eigenvector corresponding to eigenvalue 1 of the Web link matrix. The Interaction Information Retrieval (I^2^R) method is a nonclassical information retrieval paradigm, which represents a connectionist approach based on dynamic systems. In the present paper, a different interpretation of PageRank is proposed, namely, a dynamic systems viewpoint, by showing that the PageRank method can be formally interpreted as a particular case of the Interaction Information Retrieval method; and thus, the PageRank values may be interpreted as neutral equilibrium points of the Web.

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