Deep Neural Network Regularization for Feature Selection in Learning-to-Rank.
Ashwini RahangdaleShital A. RautPublished in: IEEE Access (2019)
Keyphrases
- learning to rank
- neural network
- feature selection
- ranking functions
- information retrieval
- loss function
- active sampling
- text categorization
- ranking svm
- knn
- multi class
- learning to rank algorithms
- collaborative filtering
- feature set
- mutual information
- text classification
- document retrieval
- evaluation measures
- support vector
- classification accuracy
- feature subset
- genetic algorithm
- direct optimization
- feature extraction
- model selection
- information gain
- multi task
- query dependent
- directly optimize
- balancing exploration and exploitation
- principal component analysis
- supervised learning
- semi supervised
- digital libraries
- machine learning