Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm.
Xiuyan NiYang YuPeng WuYoulin LiShaoliang NieQichao QueChao ChenPublished in: CIKM (2019)
Keyphrases
- training algorithm
- group sparsity
- feature selection
- structured sparsity
- support vector machine
- back propagation
- sparse coding
- neural network
- dictionary learning
- low rank
- training process
- rbf neural network
- feature space
- feature extraction
- unsupervised learning
- support vector
- text classification
- least squares
- text categorization
- sparse representation
- learning models
- learning rate
- hidden layer
- regularization method
- regularization methods
- compressive sensing
- data mining
- data sets
- machine learning
- ranked list
- genetic algorithm
- support vector machine svm
- model selection
- natural images
- dimensionality reduction