Comparison of Websites Employing Search Engine Optimization and Live Data
Source: By:Author(s)
DOI: https://doi.org/10.30564/jcsr.v5i2.5536
Abstract:This study compares websites that take live data into account using search engine optimization (SEO). A series of steps called search engine optimization can help a website rank highly in search engine results. Static websites and dynamic websites are two different types of websites. Static websites must have the necessary expertise in programming compatible with SEO. Whereas in dynamic websites, one can utilize readily available plugins/modules. The fundamental issue of all website holders is the lower level of page rank, congestion, utilization, and exposure of the website on the search engine. Here, the authors have studied the live data of four websites as the real-time data would indicate how the SEO strategy may be applied to website page rank, page difficulty removal, and brand query, etc. It is also necessary to choose relevant keywords on any website. The right keyword might assist to increase the brand query while also lowering the page difficulty both on and off the page. In order to calculate Off-page SEO, On-page SEO, and SEO Difficulty, the authors examined live data in this study and chose four well-known Indian university and institute websites for this study: www.caluniv.ac.in, www.jnu.ac.in, www.iima.ac.in, and www.iitb.ac.in. Using live data and SEO, the authors estimated the Off-page SEO, On-page SEO, and SEO Difficulty. It has been shown that the Off-page SEO of www.caluniv.ac.in is lower than that of www.jnu.ac.in, www.iima.ac.in, and www.iitb.ac.in by 9%, 7%, and 7%, respectively. On-page SEO is, in comparison, 4%, 1%, and 1% more. Every university has continued to keep up its own brand query. Additionally, www.caluniv.ac.in has slightly less SEO Difficulty compared to other websites. The final computed results have been displayed and compared.
References:[1] Belsare, S., Patil, S., 2012. Study and evaluation of user's behavior in e-commerce using data. Research Journal of Recent Sciences. 1, 375-387. [2] Cho, J., Roy, S., 2004. Impact of search engines on page popularity. Proceedings of the 13th International Conference on World Wide Web; 2004 May 17-22; New York. p. 20-29. [3] Knezeric, B., Vidas-Bubanja, M. (editors), 2010. Search engine marketing as key factor for generating quality online visitors. MIPRO, 2010 Proceedings of the 33rd International Convention; 2010 May 24-28; Opatija, Croatia. USA: IEEE. p. 1193-1196. [4] Jain, A., 2013. The role and importance of search engine and search engine optimization. International Journal of Emerging Trends & Technology in Computer Science. 2(3), 99-102. [5] Raorane, A.A., Kulkarni, R.V., 2012. Association rule—Extracting knowledge using market basket analysis. Research Journal of Recent Sciences. 1(2), 19-27. [6] Bhandari, R.S., Bansal, A., 2018. Impact of search engine optimization as a marketing tool. Jindal Journal of Business Research. 7(1), 24-36. [7] Poongkode, J.P.S., Nirosha, V., 2014. A study on various search engine optimization techniques. International Journal of Innovative Research in Computer and Communication Engineering. 2(11), 6738-6742. [8] Zhang, S., Cabage, N., 2016. Search engine optimization: Comparison of link building and social sharing. Journal of Computer Information Systems. 57(2), 148-159. [9] Page, L., Brin, S., Motwani, R., et al., 1999. The page rank citation ranking: Bringing order to the web. The web conference. Stanford Info. Lab: USA. [10] Sharma, D., 2010. A comparative analysis of web page ranking algorithms. International Journal on Computer Science and Engineering. 2(8), 2670-2676. [11] Shahzad, A., Nawi, N.M., Hamid, N.A., et al., 2017. The impact of search engine optimization on the visibility of research paper and citations. International Journal of Informatics Visualization. 4(2), 195-198. [12] Giomelakis, D., Veglis, A.A., 2019. Search engine optimization. Advanced methodologies and technologies in network architecture, mobile computing, and data analytics. IGI Global: Hershey. pp. 1789-1800. [13] Green, E.A., Markey, K. L., Kreider, M. (inventors), 2016. Subject Matter Context Search Engine. US Patent. 8,832,075,B2. 2016 Apr 12. [14] Jin, X., Wah, B.W., Cheng, X., et al., 2015. Significance and challenges of big data research. Big Data Research. 2(2), 59-64. [15] Davenport, T.H., Dyche, J., 2016. Big Data in Big Companies [Internet]. Available from: https://www.iqpc.com/media/7863/11710.pdf [16] Seymour, T., Frantsvog, D., Kumar, S., 2011. History of search engines. International Journal of Management & Information Systems. 15(4), 47-58. [17] Amazon e-Market Place [Internet]. Available from: www.amazon.com [18] Robertson, S.A., 2019. Brief history of search results ranking. IEEE Annals of the History of Computing. 41, 22-28. [19] Tekiner, F.J., Keane, A., 2014. Big data framework. IEEE International Conference on Systems, Man and Cybernetics; 2013 Oct 3-16. Manchester. New York: IEEE. p. 1494-1499. [20] Luh, C.J., Yang, S.A., Huang, T.L.D., 2016. Estimating Google's search engine ranking function from a search engine optimization perspective. Online Information Review. 40(2), 1-29. [21] Thatcher, A., 2008. Web search strategies: The influence of Web experience and task type. Information Processing & Management. 44(3), 1308-1329. [22] Monchaux, S., Amadieu, F., Chevalier, A., et al., 2015. Query strategies during information searching: Effects of prior domain knowledge and complexity of the information problems to be solved. Information Processing & Management. 51(5), 557-569. [23] Kutlwano, K.K.M., Ramaboa, P.F., 2018. Keyword length and matching options as indicators of search intent in sponsored search. Information Processing & Management. 54(2), 175-183. [24] Vyas, C., 2019. Evaluating state tourism websites using search engine optimization tools. Tourism Management. 73, 64-70. [25] Matta, H., Gupta, R., Agarwal, S. (editors), 2020. Search engine optimization in digital marketing: Present scenario and future scope. 2020 International Conference on Intelligent Engineering and Management (ICIEM); 2020 June 17-19; London, UK. New York: IEEE. p. 530-534. DOI: https://doi.org/10.1109/ICIEM48762.2020.9160016 [26] Nadeem, A., Hussain, M., Iftikhar, A. (editors), 2020. New Technique to Rank Without Off Page Search Engine Optimization, 2020 IEEE 23rd International Multitopic Conference (INMIC); 2020 Nov. 5-7; Bahawalpur. New York: IEEE. p. 1-6. [27] Grover, P.S., Ahuja, L. (editors), 2021. An overview of search engine optimization. 2021 9th International Conference on Reliability. Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO); 2021 Sep 03-04; Noida. New York: IEEE. p. 1-6. [28] Saura, J.R., 2021. Using data sciences in digital marketing: Framework, methods, and performance metrics. Journal of Innovation & Knowledge. 6(2), 92-102. [29] Lambrecht, P., Peter, M.K., 2022. The influence of digital assistants on search engine strategies: Recommendations for voice search optimization. Marketing and smart technologies, smart innovation, systems and technologies. Springer: Singapore. pp. 280. DOI: https://doi.org/10.1007/978-981-16-9272-7_55 [30] Erdmann, A., Arilla, R., Ponzoa, J.M., 2022. Search engine optimization: The long-term strategy of keyword choice. Journal of Business Research. 144, 650-662. [31] Maitra, S., Sahoo, L., Tiwary, K.S., 2022. Study, analysis and comparison between Amazon A10 and A11 search algorithm. Journal of Computer Science Research. 4(4), 1-6. [32] Maitra, S., Sahoo, L., Tiwary, K.S., 2022. Methods and strategies for search engine optimization. COJ Robotics & Artificial Intelligence. 2(2), 1-7. [33] Maitra, S., Sahoo, L., Lahiri Dey, J., et al., 2023. Multi-criteria decision making and its application to online learning platform selection during the COVID-19 pandemic based on TOPSIS method. Real life applications of multiple criteria decision-making techniques in fuzzy domain, studies in fuzziness and soft computing. Springer: Singapore. pp. 420. DOI: https://doi.org/10.1007/978-981-19-4929-6_23