Abstract
The automatic discovery of user navigation pattern can be done by web usage mining. The web logs which are created on daily basis at the time web pages access by various user. The paper presents restructuring of web contents according to the user preference and pattern. The proposed algorithm suggests optimal path for users by considering eye tracking and mouse movement. The path suggests by the proposed algorithm considers only the true users those who are physically present and suggests a optimal path as per the logs recorded.
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Mangal, D., Singhal, S., Sharma, D. (2019). An Algorithm for Prediction of Web User Navigation Pattern and Restructuring of Web Structure Based on Visitor’s Web Access Pattern. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_64
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DOI: https://doi.org/10.1007/978-981-13-9942-8_64
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