Adaptive Ensemble Learning Recommendation Algorithm
Zhong Hua Luo, Yang Yang · Advanced materials research · 2014
In order to solve the problem of low accuracy of single model collaborative filtering, this paper proposes an adaptive ensemble learning recommendation algorithm (AdaELRA). In the algorithm we minimize the prediction error through the gradient descent method, and set as the deviation coefficient to adaptive the prediction error, so that the sample weights will be more in line with the predictions. Theoretical analysis and experimental results show that the algorithm this paper proposed reduce the time complexity and it can improve the accuracy significantly.