News Recommendation, Recommender Systems, NLP, Data Science, Deep Learning.
News Encoder & Interest Matching 最後，透過 BPR Loss 的方法來更新模型參數，直到收斂。 Training Details: In CAUM, dimensions of both news and user interest representations are set to 400.Candi-SelfAtt contains 20 attention heads, and output vectors of each head are 20-dimensional. Candi-CNN contains 400 filters and