Topic Clustering Analysis of Online Judge System

With the continuous development of computer education, programming teaching as a core course of computer elementary science education is receiving more and more attention. Colleges and universities have started to combine the Online Judge System (OJ) to develop programming skills of students. OJ platforms have been domestically and internationally developed, and there is any corresponding problem solving reports on the Internet. However, these resources currently are not well organised and used. Therefore, it could be meaningful to cluster these dissociative problem solution reports. The OJ problem, short text classification is usually used to refer to the algorithm. In this paper, the clustering algorithm is utilized to transform the problem into a succinct text clustering problem. The research results can not only serve as an effective guide for OJ problem solving, but also provide a more scientific match for learning algorithms, and can provide a valuable reference for participants in various programming competitions.