Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering.
Dong-Kyu ChaeJin-Soo KangSang-Wook KimJaeho ChoiPublished in: WWW (2019)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- user ratings
- user preferences
- data sparsity
- high quality
- netflix prize
- recommendation quality
- generative model
- computationally efficient
- complex networks
- neural network
- recommendation systems
- collaborative filtering recommendation algorithm
- discriminative learning
- user profiles
- data driven
- high accuracy
- collaborative filtering recommender systems
- item based collaborative filtering
- highly accurate
- pearson correlation coefficient
- making recommendations
- rating prediction
- personalized recommendation
- network analysis
- probabilistic model
- learning algorithm