Document (#34070)

Author
Bidoki, A.M.Z.
Yazdani, N.
Title
an intelligent ranking algorithm for web pages : DistanceRank
Source
Information processing and management. 44(2008) no.2, S.877-892
Year
2008
Abstract
A fast and efficient page ranking mechanism for web crawling and retrieval remains as a challenging issue. Recently, several link based ranking algorithms like PageRank, HITS and OPIC have been proposed. In this paper, we propose a novel recursive method based on reinforcement learning which considers distance between pages as punishment, called "DistanceRank" to compute ranks of web pages. The distance is defined as the number of "average clicks" between two pages. The objective is to minimize punishment or distance so that a page with less distance to have a higher rank. Experimental results indicate that DistanceRank outperforms other ranking algorithms in page ranking and crawling scheduling. Furthermore, the complexity of DistanceRank is low. We have used University of California at Berkeley's web for our experiments.
Theme
Retrievalalgorithmen
Object
DistanceRank

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