MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
Dugang LiuChaohua YangXing TangYejing WangFuyuan LyuWeihong LuoXiuqiang HeZhong MingXiangyu ZhaoPublished in: WSDM (2024)
Keyphrases
- recommender systems
- feature selection
- collaborative filtering
- real world
- text categorization
- information filtering
- support vector machine
- irrelevant features
- feature extraction
- feature set
- unsupervised learning
- cold start problem
- semi automated
- user modeling
- user preferences
- classification accuracy
- feature space
- mutual information
- matrix factorization
- fully automated
- multi class
- small sample
- deep learning
- model selection
- user profiles
- user feedback
- social networks
- machine learning