论文标题
应用自适应梯度下降以求解基质分解
Applying Adaptive Gradient Descent to solve matrix factorization
论文作者
论文摘要
基于FGD的方法，我们应用了自适应梯度下降的方法，该方法在不同时期使用不同的步长。在测试中，自适应梯度下降的性能要比FGD好得多，并同时保持收敛速度的保证。
Based on the method of FGD, we apply the method of adaptive gradient descent which uses different step length at different epoch. Adaptive gradient descent performs much better than FGD in the tests and keeps the guarantee of convergence speed at the same time.
