Optimization analysis of portal website based on Apriori algorithm

Chuan Li; Xiao Liao; Gang Wu; Zhizhi Zhang

doi:10.1117/12.3012117

21 December 2023 Optimization analysis of portal website based on Apriori algorithm

Chuan Li, Xiao Liao, Gang Wu, Zhizhi Zhang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129703P (2023) https://doi.org/10.1117/12.3012117
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

With the deepening of Digital transformation in various industries, portal websites have become a medium for various industries to display their own image, and also a key platform for interaction and communication between industries and users. Some industry portal websites have complex website structures and unreasonable page link designs, resulting in insufficient user interest in browsing websites and difficulty in quickly obtaining the required information. This article is based on the Apriori algorithm, by mining and analyzing the user access logs of a certain industry portal website, grasping the browsing patterns of users accessing the industry portal website, analyzing the potential correlation relationships presented on the website's pages, providing a basis for website structure adjustment and page link optimization, and providing information reference for subsequent portal website reconstruction and optimization.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chuan Li, Xiao Liao, Gang Wu, and Zhizhi Zhang "Optimization analysis of portal website based on Apriori algorithm", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129703P (21 December 2023); https://doi.org/10.1117/12.3012117

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