Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.
Yongchun ZhuKaikai GeFuzhen ZhuangRuobing XieDongbo XiXu ZhangLeyu LinQing HePublished in: CoRR (2021)
Keyphrases
- cross domain
- cold start
- transfer learning
- recommender systems
- data sparsity
- collaborative filtering
- cold start problem
- recommendation algorithms
- knowledge transfer
- recommendation systems
- matrix factorization
- cross domain learning
- sentiment classification
- user preferences
- tag recommendation
- implicit feedback
- machine learning
- text categorization
- user interaction
- end users
- information overload
- social media
- target domain
- reinforcement learning
- training set
- user interface
- personalized recommendation
- probabilistic model
- unsupervised learning
- user interests
- user model
- learning tasks