Programming online judges (POJs) are widely used to train programming skills, and exercise recom-mendation algorithms in POJs have attracted wide attention. The current programming recommen-dation algorithms cannot make full use of the feedback of user-item pairs and cannot effectively express students' mastery of exercises. Therefore, we propose a dual-track feedback aggregation recommendation model for programming training (DTFARec). In this model, multiple types of feedback fusion mechanism (MTFFM) and dual-track method (DTM) are proposed to solve this problem and can better express student...
