CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
Cheng ZhaoChenliang LiRong XiaoHongbo DengAixin SunPublished in: SIGIR (2020)
Keyphrases
- cross domain
- cold start
- transfer learning
- data sparsity
- recommender systems
- cold start problem
- collaborative filtering
- knowledge transfer
- implicit feedback
- user ratings
- sentiment classification
- tag recommendation
- matrix factorization
- user preferences
- personalized recommendation
- recommendation algorithms
- text categorization
- cross domain learning
- learning tasks
- recommendation systems
- information overload
- labeled data
- user feedback
- prediction accuracy
- active learning
- eye tracking
- target domain
- user profiles
- semi supervised learning
- reinforcement learning
- training data
- machine learning
- text classification
- feature selection
- learning algorithm