实验表明，这种方法的优点是低内存需求，具有较小的平均绝对偏差值，并且显示出了比传统推荐算法更好的推荐质量。

• Experimental results show that this method is of low memory requirements and lower mean absolute error (MAE) value, and provides better recommendation quality compared with traditional collaborative filtering algorithms.