Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.
Yongchun ZhuKaikai GeFuzhen ZhuangRuobing XieDongbo XiXu ZhangLeyu LinQing HePublished in: SIGIR (2021)
Keyphrases
- cross domain
- cold start
- recommender systems
- transfer learning
- data sparsity
- collaborative filtering
- cold start problem
- knowledge transfer
- implicit feedback
- recommendation algorithms
- sentiment classification
- tag recommendation
- recommendation systems
- cross domain learning
- learning tasks
- user interaction
- text categorization
- information overload
- decision trees
- personalized recommendation
- user ratings
- target domain
- user interests
- search queries
- information sharing
- web search
- natural language processing
- end users
- user profiles