Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization.
Christopher LiaoTheodoros TsiligkaridisBrian KulisPublished in: ICML (2023)
Keyphrases
- learning to rank
- information retrieval
- document retrieval
- evaluation metrics
- direct optimization
- query dependent
- retrieval systems
- directly optimize
- test collection
- ranking functions
- average precision
- distance measure
- evaluation measures
- supervised learning
- loss function
- similarity measure
- optimization problems
- ranking svm
- retrieval model
- document collections
- collaborative filtering
- relevance judgments
- learning algorithm
- relevance feedback
- query terms
- image retrieval
- query expansion
- information retrieval systems
- retrieval effectiveness
- training data
- semi supervised
- visual features
- relevance model
- multimedia retrieval
- ranking models
- decision trees
- language model
- search engine