Dual-embedding based Neural Collaborative Filtering for Recommender Systems.
Gongshan HeDongxing ZhaoLixin DingPublished in: CoRR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- network architecture
- neural network
- data sparsity
- vector space
- user preferences
- collaborative filtering algorithms
- recommendation systems
- information overload
- personalized recommendation
- user profiling
- information filtering
- cold start problem
- cold start
- recommendation quality
- probabilistic matrix factorization
- deal with information overload
- user ratings
- recommendation algorithms
- user profiles
- collaborative filtering recommender systems
- product recommendation
- hybrid recommendation
- user model
- transfer learning
- rating prediction
- trust aware
- digital images
- implicit feedback
- item based collaborative filtering
- netflix prize
- movie recommendation
- online dating
- latent factor models
- content based filtering
- user interests
- data hiding
- neural model