The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
How to cite (IEEE):
M. Jamshidi, M. Haji, M. Kamankesh, M. Daghineh, & A. Shaltooki
"A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines," JOIV : International Journal on Informatics Visualization, vol. 3, no. 3, , pp. 248 - 254, Aug. 2019.
https://doi.org/10.30630/joiv.3.3.269
How to cite (APA):
Jamshidi, M., Haji, M., Kamankesh, M., Daghineh, M., & Shaltooki, A.
(2019).
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines.
JOIV : International Journal on Informatics Visualization, 3(3), 248 - 254.
https://doi.org/10.30630/joiv.3.3.269
How to cite (Chicago):
Jamshidi, Mojtaba, Haji, Mastoreh, Kamankesh, Mohamad Reza, Daghineh, Mahya, AND Shaltooki, Abdusalam Abdulla.
"A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines" JOIV : International Journal on Informatics Visualization [Online], Volume 3 Number 3 (10 August 2019)
https://doi.org/10.30630/joiv.3.3.269
How to cite (Vancouver):
Jamshidi M, Haji M, Kamankesh M, Daghineh M, & Shaltooki A .
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines.
JOIV : International Journal on Informatics Visualization [Online]. 2019 Aug;
3(3):248 - 254.
https://doi.org/10.30630/joiv.3.3.269
How to cite (Harvard):
Jamshidi, M., Haji, M., Kamankesh, M., Daghineh, M., & Shaltooki, A.
,2019.
A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines.
JOIV : International Journal on Informatics Visualization, [Online] 3(3), pp. 248 - 254.
https://doi.org/10.30630/joiv.3.3.269
How to cite (MLA8):
Jamshidi, Mojtaba, 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 [Online], 3.3 (2019): 248 - 254. Web. 27 Mar. 2023
, https://doi.org/10.30630/joiv.3.3.269
BibTex Citation Data :
@article{JOIV269,
author = {Mojtaba Jamshidi and Mastoreh Haji and Mohamad Reza Kamankesh and Mahya Daghineh and Abdusalam Abdulla Shaltooki},
title = {A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {3},
number = {3},
year = {2019},
keywords = {ranking; search engines; meta-search engine; multi-criteria decision-making; VIKOR method.},
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.},
issn = {2549-9904}, pages = {248--254}, doi = {10.30630/joiv.3.3.269},
url = {http://joiv.org/index.php/joiv/article/view/269}
}
Refworks Citation Data :
@article{{JOIV}{269}, author = {Jamshidi, M., Haji, M., Kamankesh, M., Daghineh, M., Shaltooki, A.}, title = {A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {3}, number = {3}, year = {2019}, doi = {10.30630/joiv.3.3.269}, url = {} }Refbacks
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
View JOIV Stats
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.