NDLI: Mining Search Engine Query Log for Evaluating Content and Structure of a Web Site

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Mining Search Engine Query Log for Evaluating Content and Structure of a Web Site

Content Provider	IEEE Xplore Digital Library
Author	Hosseini, Mehdi Abolhassani, Hassan
Copyright Year	2007
Abstract	Mining search engine query log is a new method for evaluating web site link structure and information architecture. In this paper we propose a new query-URL co-clustering for a web site useful to evaluate information architecture and link structure. Firstly, all queries and clicked URLs corresponding to particular web site are collected from a query log as bipartite graph, one side for queries and the other side for URLs. Then a new content free clustering is applied to cluster queries and URLs concurrently. Afterwards, based on information entropy, clusters of URLs and queries will be used for evaluating link structure and information architecture respectively. Data sets of different web sites have been extracted from a huge query log to evaluate our method, and experiments show promising result.
Starting Page	235
Ending Page	241
File Size	347188
Page Count	7
File Format	PDF
ISBN	9780769530260
DOI	10.1109/WI.2007.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uniform resource locators Laboratories Feedback Service oriented architecture Web pages Search engines Bipartite graph Intelligent structures Data mining Information entropy
Content Type	Text
Resource Type	Article

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