Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.
Yongchun ZhuRuobing XieFuzhen ZhuangKaikai GeYing SunXu ZhangLeyu LinJuan CaoPublished in: CoRR (2021)
Keyphrases
- learning process
- learning algorithm
- learning problems
- supervised learning
- learning systems
- social networks
- case study
- training data
- learning tasks
- neural network
- prior knowledge
- connectionist networks
- euclidean space
- unsupervised learning
- empirical studies
- online learning
- feature vectors
- training set
- multi agent
- machine learning