Analysing search engine optimization techniques for a full stack web application

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Abstract

. In this paper, we firstly discuss the step by step process to build a fully functioning full stack app and the technologies used while doing so. Following that, a research on various search engine optimization techniques is done for the deployed site of the app. Upon completion of the project and research, we arrived at the algorithm which showed the best results within a given time frame. It was concluded that Google page rank algorithm works the best in this case and also yielded positive results. With that we improved the ranking of our MERN stack application. We also implemented other common techniques for the search engine optimization of a site and have shown results for the same. The factor which significantly improved the ranking of our site was found to be generating more traffic. As the site traffic increased, the cPR score of our site also went up, which was also visible from the increase in the number of clicks.

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APA

Shivani, G., Mutreja, P., & Nagrath, P. (2021). Analysing search engine optimization techniques for a full stack web application. In IOP Conference Series: Materials Science and Engineering (Vol. 1022). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/1022/1/012097

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