Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning.
Yu ZhuJinghao LinShibi HeBeidou WangZiyu GuanHaifeng LiuDeng CaiPublished in: IEEE Trans. Knowl. Data Eng. (2020)
Keyphrases
- cold start problem
- active learning
- recommender systems
- data sparsity
- cold start
- collaborative filtering
- item based collaborative filtering
- matrix factorization
- transfer learning
- machine learning
- semi supervised
- personalized recommendation
- training set
- relevance feedback
- supervised learning
- implicit feedback
- data sparseness
- semi supervised learning
- unlabeled data
- labeled data
- learning process
- learning algorithm