Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.
Jiangxia CaoJiawei ShengXin CongTingwen LiuBin WangPublished in: ICDE (2022)
Keyphrases
- cold start
- cross domain
- recommender systems
- cold start problem
- data sparsity
- collaborative filtering
- transfer learning
- information bottleneck
- user ratings
- tag recommendation
- recommendation algorithms
- implicit feedback
- information theoretic
- personalized recommendation
- matrix factorization
- sentiment classification
- recommendation systems
- knowledge transfer
- user interests
- user preferences
- text categorization
- user feedback
- information overload
- user profiles
- prior knowledge
- image segmentation
- machine learning
- user generated
- learning tasks
- machine learning algorithms
- text mining
- feature space