CFDA: Collaborative Filtering with Dual Autoencoder for Recommender System.
Xinyu LiuZengmao WangPublished in: IJCNN (2022)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- cold start problem
- data sparsity
- information filtering
- product recommendation
- user interests
- probabilistic matrix factorization
- recommendation quality
- personalized recommendation
- recommendation systems
- implicit feedback
- user profiles
- making recommendations
- pearson correlation coefficient
- user item rating
- online dating
- collaborative filtering algorithms
- deal with information overload
- data sets
- cold start
- user modeling
- transfer learning
- neural network
- content based filtering
- primal dual
- information overload
- user feedback
- user model
- netflix prize
- hybrid recommendation
- graphical models