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Search engine optimization: a review

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Search Engine has a critical role in presenting the correct pages to the user because of the availability of a huge number of websites, Search Engines such as Google use the Page Ranking Algorithm to rate web pages according to the nature of their content and their existence on the world wide web. SEO can be characterized as methodology used to elevate site keeping in mind the end goal to have a high rank i.e., top outcome. In this paper the authors present the most search engine optimization like (Google, Bing, MSN, Yahoo, etc.), and compare by the performance of the search engine optimization. The authors also present the benefits, limitation, challenges, and the search engine optimization application in business.
Rocznik
Strony
70--80
Opis fizyczny
Bibliogr. 22 poz., tab.
Twórcy
  • Imam Jaafar Al-Sadiq University
  • Erbil Polytechnic University, Information System Engineering
  • Erbil Polytechnic University, Information System Engineering
Bibliografia
  • [1] Abdalwahid, S. M. J., Yousif, R. Z., & Kareem, S. W. (2019). Enhancing approach using hybrid Pailler and RSA for information security in BigData. Applied Computer Science, 15(4), 63–74. https://doi.org/10.23743/acs-2019-30
  • [2] Amin, S. (2017). Factors Influencing the Adoption of Location Based Identification in the Kurdistan Region of Iraq. University of Huddersfield.
  • [3] Amin, S. M., Shahab, W. K., Al Azzawi, A. K., & Sivaram, M. (2018). Time Series Prediction Using SRE- NAR and SRE- ADALINE. Jour. of Adv. Research in Dynamical & Control Systems, 10(12), 1716–1726.
  • [4] Berman, R., & Katona, Z. (2013). The role of search engine optimization in search marketing. Marketing Science, 32(4), 644–651.
  • [5] Edosomwan, J., & Edosomwan, T. O. (2021). Comparative analysis of some search engines. South African Journal of Science, 106(11/12), 169. http://doi.org/10.4102/sajs.v106i11/12.169
  • [6] Hawezi, R. S., Azeez, M. Y., & Qadir, A. A. (2019). Spell checking algorithm for agglutinative languages “Central Kurdish as an example”. 2019 International Engineering Conference (IEC) (pp. 142–146). IEEE.
  • [7] Kareem, S. W. (2009). Hybrid Public Key Encryption Algorithms For E-Commerce. Salahadin University.
  • [8] Kareem, S., & Okur, M. C. (2018). Bayesian Network Structure Learning Using Hybrid Bee Optimization and Greedy Search. Çukurova University. Adana, Turkey.
  • [9] Kareem, S., & Okur, M. C. (2020a). Evaluation of Bayesian Network Structure Learning Using Elephant Swarm Water Search Algorithm. In S. C. Shi (Ed.), Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems (pp. 139–159). IGI Global.
  • [10] Kareem, S., & Okur, M. C. (2020b). Structure Learning of Bayesian Networks Using Elephant Swarm Water Search Algorithm. International Journal of Swarm Intelligence Research, 11(2), 19–30. https://doi.org/10.4018/IJSIR.2020040102
  • [11] Kareem, W. S., Yousif, R. Z., & Abdalwahid, S. M. J. (2020). An approach for enhancing data confidentiality in Hadoop. Indonesian Journal of Electrical Engineering and Computer Science, 20(3), 1547–1555. http://doi.org/10.11591/ijeecs.v20.i3.pp1547-1555
  • [12] Keti, F., & Askar, S. (2015). Emulation of software defined networks using mininet in different simulation environments. 6th International Conference on Intelligent Systems, Modelling and Simulation (pp. 205–210). IEEE. http://doi.org/10.1109/ISMS.2015.46
  • [13] King, A. B. (2008). Website Optimization. O'Reilly Media, Inc.
  • [14] Mohamed, J. M., & Khoshaba, F. S. (2012). Enhanced Genetic Algorithm Based on Node Codes for Mobile Robot Path Planning. Iraqi Journal of Computer Communication and Control Engineering, 12(2), 69–80.
  • [15] Mustafa, O., Yousif, A., & Abdulqadir, D. (2019). Improving Error Correction Stage and Expanding the Final Key using Dynamic Linear-feedback Shift Register in Sarg04 Protocol. Polytechnic Journal, 9(1), 1–6.
  • [16] Schwartz, C. (1998). Web search engines. Journal of the American Society for Information Science, 49(11), 973–982. https://doi.org/10.1002/(SICI)1097-4571(1998)49:11<973::AID-ASI3>3.0.CO;2-Z
  • [17] Smith, J. (2010). Be 1 on Google: 52 fast and easy search engine optimization tools to drive customers to your web site. McGraw-Hill.
  • [18] Thelwall, M. (2015). Web crawlers and search engines. In Jens-Erik, Link analysis: An information science approach. Emerald Group Publishing Limited.
  • [19] UKEssays. (November 2018). Literature Review on “The Concept of Search Engine Optimization. Retrieved from https://www.ukessays.com/essays/marketing/the-concept-of-search-engine-optimization-and-its-innovations-marketing-essay.php?vref=1
  • [20] Xu, L., Chen, J., & Whinston, A. (2012). Effects of the presence of organic listing in search advertising. Information Systems Research, 23(4), 1284–1302.
  • [21] Yang, S., & Ghose, A. (2010). Analyzing the relationship between organic and sponsored search advertising: Positive, negative, or zero interdependence. Marketing Science, 29(4), 602–623.
  • [22] Zhang, S., & Cabage, N. (2016). Search engine optimization: Comparison of link building and social sharing. Journal of Computer Information Systems, 57(2), 148–159. https://doi.org/10.1080/08874417.2016.1183447
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-10afeebd-de4a-4700-94d0-97eca084c48c
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