Research on Personalization Algorithm based on Collaborative Filtering
Feng Liu · International Journal of u- and e- Service Science and Technology · 2016
For the issue of single CF algorithm performing low recommendation precision, we propose an adaptive Adaptive-Boost.RT ensemble learning algorithm.First, the base regression predictor is formed by minimizing the error function of user's predicting ratings via gradient descent algorithm.Then, we introduce an adaptive error parameter, which has statistical property and can be adjusted automatically by the predict error, instead of original parameter.Experiments results demonstrate that this ensemble learning algorithm can improve performance of single CF model significantly.