Obid Tursunov, American Institute of Science, USA

A novel algorithm has been developed to improve the process of determining the expected locations of visitors on a website, enhancing user navigation and overall site performance. This algorithm introduces a key insight: by strategically selecting expected locations from a set of previously backtracked pages—especially at points in the navigation process that have fewer backtracks—we can significantly mitigate the detrimental impact that long access sequences might have on the accuracy of our analysis.
The rationale behind this approach is that backtracking, or users returning to previous pages, often skews data interpretation and misrepresents user intent. By focusing on earlier points with less backtracking, the algorithm can create a clearer picture of expected user behavior.
Comprehensive experiments have been conducted to test the efficacy of this new algorithm, and the results indicate that it successfully identifies expected pages with a high degree of accuracy. This improvement not only aids in understanding user navigation patterns but also facilitates effective adjustments and reorganizations of the website's structure. Consequently, website administrators can enhance user experience by ensuring that navigation links lead to the most relevant and anticipated pages, promoting better engagement and satisfaction among visitors.

APA:
Tursunov, O. (2024). An Innovative Strategy for Enhancing Website Structure. Journal of Science and Engineering Management, 5(2), 25-34. https://doi.org/10.33832/jsem.2024.5.2.03