基于自然近邻与协同过滤的API推荐方法

郑黄河,黄志球,李伟湋,喻垚慎,王永超

API recommendation method based on natural nearest neighbors and collaborative filtering

Huang-he ZHENG,Zhi-qiu HUANG,Wei-wei LI,Yao-shen YU,Yong-chao WANG

表 4 在SH数据集上不同方法的成功率

Tab.4 Success rates of different approach on SH data set

% 方法 SUC1 SUC5 SUC10 SUC15 SUC20 PAM 8.0 15.0 27.4 29.5 33.5 FOCUS 19.0 31.5 37.0 37.5 41.0 N-APIRec-S 25.5 33.0 40.5 44.0 46.5 N-APIRec-B 29.0 42.0 48.5 49.5 51.5 N-APIRec-N 25.0 40.0 45.0 49.0 51.5 N-APIRec 30.0 42.0 47.5 50.5 52.5