基于学习情况协同过滤算法的个性化学习推荐模型研究*
苏庆,陈思兆,吴伟民,李小妹,黄佃宽

Personalized Recommendation Model Based on Collaborative Filtering Algorithm of Learning Situation
Su Qing,Chen Sizhao,Wu Weimin,Li Xiaomei,Huang Tiankuan
表5 应用不同推荐模型的指标值
Table 5 Indicator Values of Recommendation Models
TOP-N 推荐模型 precision recall F
5 Pearson-CF 0.609 4 0.551 4 0.579 0
Edurank 0.630 6 0.578 5 0.603 4
CF-SPM 0.653 9 0.599 7 0.625 6
LS-PLRM 0.679 4 0.616 4 0.646 4
10 Pearson-CF 0.623 5 0.564 7 0.592 6
Edurank 0.657 5 0.583 5 0.618 3
CF-SPM 0.696 5 0.606 5 0.648 4
LS-PLRM 0.730 5 0.614 9 0.667 7
15 Pearson-CF 0.644 6 0.574 1 0.607 3
Edurank 0.682 1 0.593 1 0.634 5
CF-SPM 0.717 0 0.605 0 0.656 3
LS-PLRM 0.728 7 0.621 6 0.670 9
20 Pearson-CF 0.654 7 0.585 2 0.618 0
Edurank 0.716 6 0.600 8 0.653 6
CF-SPM 0.717 8 0.611 9 0.660 6
LS-PLRM 0.737 9 0.631 2 0.680 4