A Model Based on Cocitation for Web Information Retrieval

A Model Based on Cocitation for Web Information Retrieval

According to the relationship between authority and cocitation in HITS, we propose a new hyperlink weighting scheme to describe the strength of the relevancy between any two webpages. Then we combine hyperlink weight normalization and random surfing schemes as used in PageRank to justify the new mod...

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Main Authors: Yue Xie, Ting-Zhu Huang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/418605
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spelling doaj-1cb385dc09cf4f1caa8db0b7c347a1d62020-11-24T21:55:59ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/418605418605A Model Based on Cocitation for Web Information RetrievalYue Xie0Ting-Zhu Huang1School of Mathematical Sciences, University of Electronic Science and Technology of China, Sichuan, Chengdu 611731, ChinaSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Sichuan, Chengdu 611731, ChinaAccording to the relationship between authority and cocitation in HITS, we propose a new hyperlink weighting scheme to describe the strength of the relevancy between any two webpages. Then we combine hyperlink weight normalization and random surfing schemes as used in PageRank to justify the new model. In the new model based on cocitation (MBCC), the pages with stronger relevancy are assigned higher values, not just depending on the outlinks. This model combines both features of HITS and PageRank. Finally, we present the results of some numerical experiments, showing that the MBCC ranking agrees with the HITS ranking, especially in top 10. Meanwhile, MBCC keeps the superiority of PageRank, that is, existence and uniqueness of ranking vectors.http://dx.doi.org/10.1155/2014/418605
collection DOAJ
language English
format Article
sources DOAJ
author Yue Xie
Ting-Zhu Huang
spellingShingle Yue Xie
Ting-Zhu Huang
A Model Based on Cocitation for Web Information Retrieval
Mathematical Problems in Engineering
author_facet Yue Xie
Ting-Zhu Huang
author_sort Yue Xie
title A Model Based on Cocitation for Web Information Retrieval
title_short A Model Based on Cocitation for Web Information Retrieval
title_full A Model Based on Cocitation for Web Information Retrieval
title_fullStr A Model Based on Cocitation for Web Information Retrieval
title_full_unstemmed A Model Based on Cocitation for Web Information Retrieval
title_sort model based on cocitation for web information retrieval
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description According to the relationship between authority and cocitation in HITS, we propose a new hyperlink weighting scheme to describe the strength of the relevancy between any two webpages. Then we combine hyperlink weight normalization and random surfing schemes as used in PageRank to justify the new model. In the new model based on cocitation (MBCC), the pages with stronger relevancy are assigned higher values, not just depending on the outlinks. This model combines both features of HITS and PageRank. Finally, we present the results of some numerical experiments, showing that the MBCC ranking agrees with the HITS ranking, especially in top 10. Meanwhile, MBCC keeps the superiority of PageRank, that is, existence and uniqueness of ranking vectors.
url http://dx.doi.org/10.1155/2014/418605
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AT tingzhuhuang amodelbasedoncocitationforwebinformationretrieval
AT yuexie modelbasedoncocitationforwebinformationretrieval
AT tingzhuhuang modelbasedoncocitationforwebinformationretrieval
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