Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.
Dugang LiuYang QiaoXing TangLiang ChenXiuqiang HeWeike PanZhong MingPublished in: DASFAA (4) (2023)
Keyphrases
- high accuracy
- training set
- recommender systems
- bias variance
- training phase
- variance reduction
- spatial and temporal resolution
- computational complexity
- classification accuracy
- computational cost
- training examples
- training speed
- prediction accuracy
- precision and recall
- evaluation method
- random sampling
- training and testing data
- sample size
- sampling strategy
- progressive sampling
- roc curve
- evaluation measures
- website
- error rate
- training samples
- collaborative filtering
- supervised learning
- decision trees