Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.
Dugang LiuYang QiaoXing TangLiang ChenXiuqiang HeWeike PanZhong MingPublished in: CoRR (2023)
Keyphrases
- monte carlo
- bias variance
- trade off
- computational complexity
- computational efficiency
- highly skewed
- variance reduction
- prediction accuracy
- high accuracy
- supervised learning
- recommender systems
- error rate
- test set
- neural network
- random sampling
- discriminative classifiers
- computational cost
- training set
- training process
- training phase
- sampling strategy
- training speed