Construction of a Cross-Cultural Communication Big Data Platform Construction System Based on Association Rule Mining

Current cross-cultural communication big data platforms generally have weak personalized communication recommendation functions and poor interactivity. Therefore, users' experience of using online cross-cultural communication platforms to communicate is not good, which has also become the cause of online cross-cultural communication. One of the factors contributing to the low utilization of communication platforms. Based on the association rule mining technology, the personalized communication content recommendation function includes two core sub-modules: one is to realize the association rule mining sub-module, and the other is to use the association rule to realize the communication content recommendation sub-module. In the association rule mining module, the Apriori algorithm is used to mine the user's access log for association rules to realize the communication content recommendation when the user accesses the system; at the same time, based on the hierarchical characteristics of the content data accessed by the user, it realizes the inter-section recommended visits.