Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.
SeongKu KangJunyoung HwangDongha LeeHwanjo YuPublished in: CIKM (2019)
Keyphrases
- cold start
- transfer learning
- semi supervised learning
- data sparsity
- cross domain
- cold start problem
- labeled data
- recommender systems
- collaborative filtering
- unlabeled data
- semi supervised
- domain adaptation
- knowledge transfer
- text categorization
- learning tasks
- sentiment classification
- supervised learning
- active learning
- machine learning
- unsupervised learning
- text classification
- tag recommendation
- target domain
- co training
- user preferences
- recommendation algorithms
- user ratings
- personalized recommendation
- implicit feedback
- learning algorithm
- matrix factorization
- reinforcement learning
- training data
- feature extraction
- user profiles
- opinion mining
- language model
- training set