Efficient methodologies to determine the relevancy of hanging pages using stability analysis

PR Kumar, AGK Leng, AK Singh… - Cybernetics and …, 2016 - Taylor & Francis
Cybernetics and Systems, 2016Taylor & Francis
This article presents an algorithm to determine the relevancy of hanging pages in the link-
structure-based ranking algorithms. Recently, hanging pages have become major obstacles
in web information retrieval (IR). As an increasing number of meaningful hanging pages
appear on the Web, their relevancy has to be determined according to the query term in
order to make the search engine result pages fair and relevant. Exclusion of these pages in
ranking calculation can give biased/inconsistent results, but inclusion of these pages will …
Abstract
This article presents an algorithm to determine the relevancy of hanging pages in the link-structure-based ranking algorithms. Recently, hanging pages have become major obstacles in web information retrieval (IR). As an increasing number of meaningful hanging pages appear on the Web, their relevancy has to be determined according to the query term in order to make the search engine result pages fair and relevant. Exclusion of these pages in ranking calculation can give biased/inconsistent results, but inclusion of these pages will reduce the speed significantly. Most of the IR ranking algorithms exclude the hanging pages. But there are relevant and important hanging pages on the Web, and they cannot be ignored. In our proposed method, we use anchor text to determine the hanging relevancy, and we use stability analysis to show that rank results are consistent before and after altering the link structure.
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