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