Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
Lijun LyuNirmal RoyHarrie OosterhuisAvishek AnandPublished in: CoRR (2024)
Keyphrases
- learning to rank
- machine learning
- feature selection
- ranking functions
- loss function
- information retrieval
- learning to rank algorithms
- text classification
- evaluation measures
- direct optimization
- collaborative filtering
- classification accuracy
- supervised learning
- learning algorithm
- data mining
- model selection
- decision trees
- test collection
- feature extraction
- feature space
- document retrieval
- reinforcement learning
- text categorization
- metadata
- evaluation metrics
- query dependent
- directly optimize
- information retrieval systems
- support vector machine
- exploration exploitation dilemma