AutoField: Automating Feature Selection in Deep Recommender Systems.
Yejing WangXiangyu ZhaoTong XuXian WuPublished in: WWW (2022)
Keyphrases
- recommender systems
- feature selection
- collaborative filtering
- matrix factorization
- feature extraction
- text categorization
- selected features
- classification accuracy
- model selection
- machine learning
- user modeling
- information filtering
- text classification
- mutual information
- support vector
- cold start
- data sets
- information gain
- feature space
- cold start problem
- multi class
- feature set
- microarray data
- forward selection
- small sample
- recommendation systems
- information overload
- user profiling
- irrelevant features
- implicit feedback
- feature subset
- personalized recommendation
- recommendation quality
- feature selection algorithms
- user profiles
- dimensionality reduction
- support vector machine
- method for feature selection
- compound critiques
- content based filtering
- unsupervised feature selection
- recommendation algorithms
- user interests
- classification models
- information retrieval