GAN-based Recommendation with Positive-Unlabeled Sampling.
Yao ZhouJianpeng XuJun WuZeinab Taghavi NasrabadiEvren KörpeogluKannan AchanJingrui HePublished in: CoRR (2020)
Keyphrases
- collaborative filtering
- positive and negative
- random sampling
- recommender systems
- sampling algorithm
- positive data
- active learning
- recommendation systems
- unlabeled data
- unsupervised learning
- parameter space
- structuring elements
- sample size
- semi supervised learning
- sampling strategy
- positive and unlabeled examples
- monte carlo
- sampling methods
- machine learning
- user feedback
- user preferences
- labeled data
- prior knowledge
- recommendation algorithms
- personalized recommendation
- image segmentation
- website
- image processing
- sampling strategies
- social networks