NDLI: A popularity-based URL ordering algorithm for crawlers

Content Provider	IEEE Xplore Digital Library
Author	Chandramouli, A. Gauch, S. Eno, J.
Copyright Year	2010
Description	Author affiliation: University of Kansas (Chandramouli, A.) \|\| University of Arkansas (Gauch, S.; Eno, J.)
Abstract	Uniform Resource Locator (URL) ordering algorithms are used by Web crawlers to determine the order in which to download pages from the Web. The current approaches for URL ordering based on link structure are expensive and/or miss many good pages, particularly in social network environments. In this paper, we present a novel URL ordering algorithm that exploits the access count information present in the Web logs on the individual Websites. In particular, we develop algorithms based on internal and external counts and by using this popularity information for URL ordering, we are able to retrieve high quality pages earlier in the crawl. We perform our experiments on two data sets using the Web logs from university and CiteSeer Websites and, on these data sets, we achieve a statistically significant improvement in the ordering of the high quality pages (as indicated by Google's PageRank) of 57.2% and 65.7% over that of a breadth-first search crawl.
Starting Page	556
Ending Page	562
File Size	458924
Page Count	7
File Format	PDF
ISBN	9781424475605
e-ISBN	9781424475629
DOI	10.1109/HSI.2010.5514512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uniform resource locators Decision support systems Social network services Crawlers url ordering social content web crawler Information retrieval page ranking Helium
Content Type	Text
Resource Type	Article

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