Improving search engine optimization (SEO) by using hybrid modified MCDM models-Reference-Cited by-同舟云学术

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Improving search engine optimization (SEO) by using hybrid modified MCDM models

Published:2018-06-28 Issue:1 Volume:53 Page:1-16
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Tsuei Hung-Jia^ORCID,Tsai Wei-Ho,Pan Fu-Te,Tzeng Gwo-Hshiung

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-018-9644-0.pdf

Reference30 articles.

1. Amin GR, Emrouznejad A (2011) Optimizing search engines results using linear programming. Expert Syst Appl 38(9):11534–11537

2. Aswani R, Kar AK, Ilavarasan PV, Dwivedi YK (2018) Search engine marketing is not all gold: insights from Twitter and SEOClerks. Int J Inf Manag 38(1):107–116

3. Bar-Ilan J, Mat-Hassan M, Levene M (2006) Methods for comparing rankings of search engine results. Comput Netw 50(10):1448–1463

4. Chen CH, Tzeng GH (2011) Creating the aspired intelligent assessment systems for teaching materials. Expert Syst Appl 38(10):12168–12179

5. Chen FH, Hsu TS, Tzeng GH (2011) A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP. Int J Hosp Manag 30(4):908–932

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