News Recommendation, Recommender Systems, NLP, Data Science, Deep Learning.
window size is set to 3. We train CAUM 3 epochs via Adam with 5e-5 learning rate. All hyper-parameters of CAUM and other baseline methods are selected based on the validation dataset. Experiments Ablation Study First, adding one of Candi-SelfAtt and Candi-CNN significantly improves the performance