Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation.
Yihao ZhangChu ZhaoMeng YuanMian ChenXiaoyang LiuPublished in: Intell. Data Anal. (2022)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- tensor factorization
- data sparsity
- personalized recommendation
- recommendation systems
- network architecture
- neural network
- sparse data
- latent factor models
- recommendation quality
- user preferences
- cold start
- making recommendations
- online dating
- information filtering
- product recommendation
- cold start problem
- visual attention
- transfer learning
- item recommendation
- item based collaborative filtering
- high dimensional
- content based filtering
- pearson correlation coefficient
- deal with information overload
- restricted boltzmann machine
- user ratings
- implicit feedback
- recommendation algorithms
- user interests
- user profiles
- graphical models