Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.
Jiangxia CaoJiawei ShengXin CongTingwen LiuBin WangPublished in: CoRR (2022)
Keyphrases
- cold start
- cross domain
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- transfer learning
- information bottleneck
- implicit feedback
- information theoretic
- tag recommendation
- recommendation algorithms
- user ratings
- personalized recommendation
- user preferences
- knowledge transfer
- recommendation systems
- information overload
- sentiment classification
- matrix factorization
- user profiles
- text categorization
- image segmentation
- user feedback
- labeled data
- decision trees
- data mining
- learning tasks
- user behavior
- semi supervised learning
- search engine