Building a Cloud Teaching-Research Community for College English Based on Computer Big Data Technology

In response to meet the needs of college teachers to strengthen their team construction, this paper introduced the Apriori algorithm to study the method of constructing a cloud teaching-research community for college English based on computer big data technology. By integrating big data into English teaching and research, it analyzes the groups in different regions and schools to jointly carry out various practical teaching and research activities. The survey results showed that 80% of teachers expected to improve themselves in teaching and research. This paper collects data by means of English teaching platform and uses MySQL for integration. In order to optimize the Apriori algorithm, this paper adopted a more advanced FP growth algorithm data structure, avoided generating candidate itemsets by constructing a tree structure, and used boosting rate instead of confidence. The experimental results showed that when the number of users was 40, the recall rate of the Improved Apriori algorithm reached 85%, which was a 20% improvement compared to the Apriori algorithm's 60%. At the same time, the operational efficiency of the algorithm has also been significantly improved. Finally, this article provided a summary of the construction of a cloud teaching-research community for College English.