Applying the learning rate adaptation to the matrix factorization based collaborative filtering

@article{Luo2013ApplyingTL,
  title={Applying the learning rate adaptation to the matrix factorization based collaborative filtering},
  author={Xin Luo and Yunni Xia and Qingsheng Zhu},
  journal={Knowl.-Based Syst.},
  year={2013},
  volume={37},
  pages={154-164}
}
Matrix Factorization (MF) based Collaborative Filtering (CF) have proved to be a highly accurate and scalable approach to recommender systems. In MF based CF, the learning rate is a key factor affecting the recommendation accuracy and convergence rate; however, this essential parameter is difficult to decide, since the recommender has to keep the balance… CONTINUE READING