Difference between revisions of "Intelligent Web Page Retrieval Using Wikipedia Knowledge"

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'''Intelligent Web Page Retrieval Using Wikipedia Knowledge''' - scientific work related to Wikipedia quality published in 2012, written by Falah Hassan Al-akashi and Diana Inkpen.
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'''Intelligent Web Page Retrieval Using Wikipedia Knowledge''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Falah Hassan Al-akashi]] and [[Diana Inkpen]].
  
 
== Overview ==
 
== Overview ==
In this paper, authors present an intelligent web retrieval system that is able to rank webpages by using Wikipedia knowledge to enhance a standard vector space model. Authors index contains separate information about the frequency of the terms in Wikpedia articles, in home pages, and in other types of web pages, instead of using a generic term frequency for the whole text collection. Authors also filter out spam. Authors present results on the ClueWeb collection, for two sets of queries, for an adhoc retrieval task and for a diversity task (which aims at retrieving not only relevant information, but also information for different aspects of the queries).
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In this paper, authors present an intelligent web retrieval system that is able to rank webpages by using [[Wikipedia]] knowledge to enhance a standard vector space model. Authors index contains separate information about the frequency of the terms in Wikpedia articles, in home pages, and in other types of web pages, instead of using a generic term frequency for the whole text collection. Authors also filter out spam. Authors present results on the ClueWeb collection, for two sets of queries, for an adhoc retrieval task and for a diversity task (which aims at retrieving not only relevant information, but also information for different aspects of the queries).

Revision as of 07:56, 3 December 2019

Intelligent Web Page Retrieval Using Wikipedia Knowledge - scientific work related to Wikipedia quality published in 2012, written by Falah Hassan Al-akashi and Diana Inkpen.

Overview

In this paper, authors present an intelligent web retrieval system that is able to rank webpages by using Wikipedia knowledge to enhance a standard vector space model. Authors index contains separate information about the frequency of the terms in Wikpedia articles, in home pages, and in other types of web pages, instead of using a generic term frequency for the whole text collection. Authors also filter out spam. Authors present results on the ClueWeb collection, for two sets of queries, for an adhoc retrieval task and for a diversity task (which aims at retrieving not only relevant information, but also information for different aspects of the queries).