Multi-Label Learning to Rank through Multi-Objective Optimization.
Debabrata MahapatraChaosheng DongYetian ChenMichinari MommaPublished in: KDD (2023)
Keyphrases
- multi objective optimization
- learning to rank
- multi label
- multi objective
- evolutionary algorithm
- text categorization
- multi label classification
- information retrieval
- graph cuts
- ranking functions
- image classification
- image annotation
- text classification
- loss function
- differential evolution
- document retrieval
- binary classification
- class labels
- genetic algorithm
- retrieval systems
- collaborative filtering
- test collection
- optimization algorithm
- pairwise
- optimization problems
- supervised learning
- feature extraction
- particle swarm optimization
- ranking algorithm
- image segmentation
- language model