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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Politeknik Negeri Padang
2019-08-01
|
Series: | JOIV: International Journal on Informatics Visualization |
Subjects: | |
Online Access: | http://joiv.org/index.php/joiv/article/view/269 |
id |
doaj-6c7a845b99ba4bc091f8d0c161dde4f5 |
---|---|
record_format |
Article |
spelling |
doaj-6c7a845b99ba4bc091f8d0c161dde4f52020-11-25T03:06:47ZengPoliteknik Negeri PadangJOIV: International Journal on Informatics Visualization2549-96102549-99042019-08-013324825410.30630/joiv.3.3.269163A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search EnginesMojtaba Jamshidi0Mastoreh Haji1Mohamad Reza Kamankesh2Mahya Daghineh3Abdusalam Abdulla Shaltooki4Islamic Azad University, Qazvin, IranIslamic Azad University, Kermanshah, IranIslamic Azad University, Ashtian, IranIslamic Azad University, Arak, IranUniversity of Human Development, Sulaymaniyah, IraqRanking 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.http://joiv.org/index.php/joiv/article/view/269rankingsearch enginesmeta-search enginemulti-criteria decision-makingvikor method. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mojtaba Jamshidi Mastoreh Haji Mohamad Reza Kamankesh Mahya Daghineh Abdusalam Abdulla Shaltooki |
spellingShingle |
Mojtaba Jamshidi Mastoreh Haji Mohamad Reza Kamankesh Mahya Daghineh Abdusalam Abdulla Shaltooki A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines JOIV: International Journal on Informatics Visualization ranking search engines meta-search engine multi-criteria decision-making vikor method. |
author_facet |
Mojtaba Jamshidi Mastoreh Haji Mohamad Reza Kamankesh Mahya Daghineh Abdusalam Abdulla Shaltooki |
author_sort |
Mojtaba Jamshidi |
title |
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines |
title_short |
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines |
title_full |
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines |
title_fullStr |
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines |
title_full_unstemmed |
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines |
title_sort |
multi-criteria ranking algorithm based on the vikor method for meta-search engines |
publisher |
Politeknik Negeri Padang |
series |
JOIV: International Journal on Informatics Visualization |
issn |
2549-9610 2549-9904 |
publishDate |
2019-08-01 |
description |
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. |
topic |
ranking search engines meta-search engine multi-criteria decision-making vikor method. |
url |
http://joiv.org/index.php/joiv/article/view/269 |
work_keys_str_mv |
AT mojtabajamshidi amulticriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mastorehhaji amulticriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mohamadrezakamankesh amulticriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mahyadaghineh amulticriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT abdusalamabdullashaltooki amulticriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mojtabajamshidi multicriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mastorehhaji multicriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mohamadrezakamankesh multicriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT mahyadaghineh multicriteriarankingalgorithmbasedonthevikormethodformetasearchengines AT abdusalamabdullashaltooki multicriteriarankingalgorithmbasedonthevikormethodformetasearchengines |
_version_ |
1724672420917280768 |