PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
Softmax Loss (SL) is widely applied in recommender systems (RS) and has demonstrated
effectiveness. This work analyzes SL from a pairwise perspective, revealing two significant …
effectiveness. This work analyzes SL from a pairwise perspective, revealing two significant …
Towards Optimizing Top- Ranking Metrics in Recommender Systems
W Yang, J Chen, S Zhang, P Wu, Y Feng, C Chen… - openreview.net
In the realm of recommender systems (RS), Top-$ K $ metrics such as NDCG@ $ K $ are the
gold standard for evaluating performance. Nonetheless, during the training of …
gold standard for evaluating performance. Nonetheless, during the training of …