AutoML for Deep Recommender Systems: A Survey.
Ruiqi ZhengLiang QuBin CuiYuhui ShiHongzhi YinPublished in: CoRR (2022)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- trust aware
- information filtering
- user model
- information overload
- user modeling
- user preferences
- evolutionary algorithm
- personalized recommendation
- user profiling
- recommendation quality
- bayesian networks
- neural network
- case study
- recommendation algorithms
- implicit feedback
- deep learning
- data sparsity
- cold start
- data mining