2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2021
LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
Ziyi Wang, Wendong Xiao, Yu Li +2
Most current recommender systems used the historical behaviour data of user to predict user' preference. However, it is difficult to recommend items to new users accurately. To all…
cs.LG2021
Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent
Kun Zeng, Jinlan Liu, Zhixia Jiang +1
The plain stochastic gradient descent and momentum stochastic gradient descent have extremely wide applications in deep learning due to their simple settings and low computational…
cs.LG2021★ 2 cited
A decreasing scaling transition scheme from Adam to SGD
Kun Zeng, Jinlan Liu, Zhixia Jiang +1
Adaptive gradient algorithm (AdaGrad) and its variants, such as RMSProp, Adam, AMSGrad, etc, have been widely used in deep learning. Although these algorithms are faster in the ear…