Addressing the Item Cold-start Problem by Attribute-driven Active Learning.
Yu ZhuJinhao LinShibi HeBeidou WangZiyu GuanHaifeng LiuDeng CaiPublished in: CoRR (2018)
Keyphrases
- cold start problem
- active learning
- recommender systems
- cold start
- collaborative filtering
- item based collaborative filtering
- matrix factorization
- data sparsity
- learning algorithm
- personalized recommendation
- supervised learning
- semi supervised
- user preferences
- implicit feedback
- labeled data
- transfer learning
- training set
- information retrieval
- user interface
- decision trees