Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
Lijun LyuNirmal RoyHarrie OosterhuisAvishek AnandPublished in: ECIR (4) (2024)
Keyphrases
- learning to rank
- machine learning
- feature selection
- ranking functions
- information retrieval
- loss function
- supervised learning
- direct optimization
- learning to rank algorithms
- document retrieval
- text classification
- model selection
- collaborative filtering
- support vector
- evaluation measures
- data mining
- machine learning methods
- support vector machine
- feature extraction
- mutual information
- data sets
- web search
- text mining
- evaluation metrics
- ranking models
- ranking svm