A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines

Ranking of web pages is one of the most important parts of search engines and is, in fact, a process that through it the quality of a page is estimated by the search engine. In this study, a ranking algorithm based on VIKOR multi-criteria decision-making method for Meta-Search Engines (MSEs) was pro...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:JOIV : international journal on informatics visualization Online Ročník 3; číslo 3; s. 248 - 254
Hlavní autori: Jamshidi, Mojtaba, Haji, Mastoreh, Kamankesh, Mohamad Reza, Daghineh, Mahya, Shaltooki, Abdusalam Abdulla
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Politeknik Negeri Padang 10.08.2019
Predmet:
meta-search engine
multi-criteria decision-making
ranking
search engines
vikor method
ISSN:2549-9610, 2549-9904
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract Ranking of web pages is one of the most important parts of search engines and is, in fact, a process that through it the quality of a page is estimated by the search engine. In this study, a ranking algorithm based on VIKOR multi-criteria decision-making method for Meta-Search Engines (MSEs) was proposed. In this research, the considered MSE first will receive the suggested pages associated with the search term from eight search engines including, Teoma, Google, Yahoo!, AlltheWeb, AltaVista, Wisenut, ODP, MSN. The results, at most 10 first pages are selected from each search engine and creates the initial dataset contains 80 web pages. The proposed parser is then executed on these pages and the eight criteria including the rank of web page in the related search engine, access time, number of repetitions of search terms, positions of search term at the webpage, numbers of media at the webpage, the number of imports in the webpage, the number of incoming links, and the number of outgoing links are extracted from these web pages. Finally, by using the VIKOR method and these extracted criteria, web pages will rank and 10 top results will be provided for the user. To implement the proposed method, JAVA and MATLAB languages are used. In the experiments, the proposed method is implemented for a query and its ranking results have been compared in terms of accuracy with three famous search engine including Google, Yahoo, and MSN. The results of comparisons show that the proposed method offers higher accuracy.
AbstractList Ranking of web pages is one of the most important parts of search engines and is, in fact, a process that through it the quality of a page is estimated by the search engine. In this study, a ranking algorithm based on VIKOR multi-criteria decision-making method for Meta-Search Engines (MSEs) was proposed. In this research, the considered MSE first will receive the suggested pages associated with the search term from eight search engines including, Teoma, Google, Yahoo!, AlltheWeb, AltaVista, Wisenut, ODP, MSN. The results, at most 10 first pages are selected from each search engine and creates the initial dataset contains 80 web pages. The proposed parser is then executed on these pages and the eight criteria including the rank of web page in the related search engine, access time, number of repetitions of search terms, positions of search term at the webpage, numbers of media at the webpage, the number of imports in the webpage, the number of incoming links, and the number of outgoing links are extracted from these web pages. Finally, by using the VIKOR method and these extracted criteria, web pages will rank and 10 top results will be provided for the user. To implement the proposed method, JAVA and MATLAB languages are used. In the experiments, the proposed method is implemented for a query and its ranking results have been compared in terms of accuracy with three famous search engine including Google, Yahoo, and MSN. The results of comparisons show that the proposed method offers higher accuracy.
Author Daghineh, Mahya
Shaltooki, Abdusalam Abdulla
Jamshidi, Mojtaba
Haji, Mastoreh
Kamankesh, Mohamad Reza
Author_xml – sequence: 1
  givenname: Mojtaba
  surname: Jamshidi
  fullname: Jamshidi, Mojtaba
– sequence: 2
  givenname: Mastoreh
  surname: Haji
  fullname: Haji, Mastoreh
– sequence: 3
  givenname: Mohamad Reza
  surname: Kamankesh
  fullname: Kamankesh, Mohamad Reza
– sequence: 4
  givenname: Mahya
  surname: Daghineh
  fullname: Daghineh, Mahya
– sequence: 5
  givenname: Abdusalam Abdulla
  surname: Shaltooki
  fullname: Shaltooki, Abdusalam Abdulla
BookMark eNo9kEtPAjEUhRuDiYgs3fcPDLbTzqNLJKhECAmi28nta6YIU9MZTfz3FlBzFvfkJOfLzblGg9a3BqFbSiaM5Izc7bz7mrCoNBcXaJhmXCRCED748zklV2jcdTtCSFoWvGB0iLZTvPrc9y6ZBdeb4ABvoH13bY2n-9rHrDnge-iMxr7FfWPw2-J5vcEr0zdeY-vD0ULyYiCoBs_b2rWmu0GXFvadGf_eEXp9mG9nT8ly_biYTZeJSimLH2kmFTdCmsJKiImhGaTMCkkhT2VpiRZgOS-kFBkrS8KkhlhItchAQcFGaHHmag-76iO4A4TvyoOrToEPdQWhd2pvqlwVUPJMCiGBS0UEtaUmiuZUa8NtFlnJmaWC77pg7D-Pkuq0cHVcuGJRcWH2A1vhcKw
ContentType Journal Article
DBID AAYXX
CITATION
DOA
DOI 10.30630/joiv.3.3.269
DatabaseName CrossRef
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 2549-9904
EndPage 254
ExternalDocumentID oai_doaj_org_article_6c7a845b99ba4bc091f8d0c161dde4f5
10_30630_joiv_3_3_269
GroupedDBID AAYXX
ADBBV
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
GROUPED_DOAJ
ID FETCH-LOGICAL-c2139-9d3bc4e9be7fba139e15a23f9b1a62b8f0d9af447bb9538803bdac4e2d95aca73
IEDL.DBID DOA
ISSN 2549-9610
IngestDate Mon Nov 10 04:33:01 EST 2025
Sat Nov 29 03:28:57 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
License http://creativecommons.org/licenses/by-sa/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2139-9d3bc4e9be7fba139e15a23f9b1a62b8f0d9af447bb9538803bdac4e2d95aca73
OpenAccessLink https://doaj.org/article/6c7a845b99ba4bc091f8d0c161dde4f5
PageCount 7
ParticipantIDs doaj_primary_oai_doaj_org_article_6c7a845b99ba4bc091f8d0c161dde4f5
crossref_primary_10_30630_joiv_3_3_269
PublicationCentury 2000
PublicationDate 2019-08-10
PublicationDateYYYYMMDD 2019-08-10
PublicationDate_xml – month: 08
  year: 2019
  text: 2019-08-10
  day: 10
PublicationDecade 2010
PublicationTitle JOIV : international journal on informatics visualization Online
PublicationYear 2019
Publisher Politeknik Negeri Padang
Publisher_xml – name: Politeknik Negeri Padang
SSID ssj0002874731
ssib059109950
Score 2.074965
Snippet Ranking of web pages is one of the most important parts of search engines and is, in fact, a process that through it the quality of a page is estimated by the...
SourceID doaj
crossref
SourceType Open Website
Index Database
StartPage 248
SubjectTerms meta-search engine
multi-criteria decision-making
ranking
search engines
vikor method
Title A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines
URI https://doaj.org/article/6c7a845b99ba4bc091f8d0c161dde4f5
Volume 3
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2549-9904
  dateEnd: 20231231
  omitProxy: false
  ssIdentifier: ssj0002874731
  issn: 2549-9610
  databaseCode: DOA
  dateStart: 20170101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2549-9904
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssib059109950
  issn: 2549-9610
  databaseCode: M~E
  dateStart: 20170101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PS8MwFA4yPHjxtzh_kYN4i2ubpG2OmzgUccqYslt5SRrd0E22ub_fl7ST3bxILiW0JXwv4X1pXr-PkEuQpYqEViw3MmXCKcFUmqUs0VJwk-YQSx3MJrJeLx8O1fOa1ZevCavkgSvgWqnJIBdSK6VBaIPpzeU2MkhUcGEKF9RLo0ytbaZwJknlD3zq87px-ISEtDmYE_oNEQ4njirBTe41p1rj6Wh5zbElvvB5LUGt6fiHhNPdJds1U6TtaoR7ZKOc7JOdlQsDrRflARm0afiLlnnXAj-faB-CHwJtf7xNse_9k3YwV1k6nVCke_T1_uGpTx-DdTRFzuovgVV1x7TSJ5wfkpfu7eDmjtVeCcwkSOKYslwbUSpdZk4D9pSxhIQ7pWNIE527yCpwQmRaK-kFYLi2gA8kVkkwkPEj0phMJ-UxoQ6yWNhY5g6siC3HJWqTGGQqDAhIRZNcrQAqvipJjAK3EgHJwiNZcGyIZJN0PHy_N3kl69CB8S3q-BZ_xffkP15ySraQ6CgWpGzPSGMx-y7PyaZZLkbz2UWYOj9PzcYT
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Multi-Criteria+Ranking+Algorithm+Based+on+the+VIKOR+Method+for+Meta-Search+Engines&rft.jtitle=JOIV+%3A+international+journal+on+informatics+visualization+Online&rft.au=Jamshidi%2C+Mojtaba&rft.au=Haji%2C+Mastoreh&rft.au=Kamankesh%2C+Mohamad+Reza&rft.au=Daghineh%2C+Mahya&rft.date=2019-08-10&rft.issn=2549-9610&rft.eissn=2549-9904&rft.volume=3&rft.issue=3&rft.spage=248&rft.epage=254&rft_id=info:doi/10.30630%2Fjoiv.3.3.269&rft.externalDBID=n%2Fa&rft.externalDocID=10_30630_joiv_3_3_269
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2549-9610&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2549-9610&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2549-9610&client=summon