Cultural Publicity Website Based on Apriori Improved Algorithm

Under the current situation, it provides people with a convenient, efficient, timely and easy-to-use information service platform. It is widely used and far-reaching to strengthen the construction of the portal website of the Publicity Department, and the security of the website is extremely important. In order to solve the shortcomings of the existing cultural publicity website design research, this paper discusses the website development environment and website user interest calculation based on the discussion of Apriori improved algorithm and cultural publicity website design demand analysis, and designs various functional modules of the cultural publicity website. This paper focuses on the research on the news information recommendation system of cultural publicity websites through the improved algorithm of Apriori. Finally, the analysis is carried out through specific experiments. The data shows that the AprioriTidStr algorithm improved by Apriori has the fastest execution time compared with the original algorithm. Among the 100 to 500 transaction items, the execution time is up to 96 seconds. Therefore, it is verified that the improved algorithm based on Apriori designed in this paper has high practical value in the design and application of cultural publicity websites.