PU Active Learning for Recommender Systems.
Jia-Lue ChenJia-Jia CaiYuan JiangSheng-Jun HuangPublished in: Neural Process. Lett. (2021)
Keyphrases
- recommender systems
- active learning
- collaborative filtering
- user preferences
- machine learning
- supervised learning
- random sampling
- matrix factorization
- training set
- user modeling
- user profiles
- learning algorithm
- information filtering
- user model
- learning strategies
- cold start problem
- semi supervised
- unlabeled data
- semi supervised learning
- relevance feedback
- information overload
- active learning strategies
- trust aware
- imbalanced data classification
- labeled data
- transfer learning
- personalized recommendation
- implicit feedback
- user profiling
- data sparsity
- product recommendation
- sample selection
- pool based active learning
- web pages
- cost sensitive
- training examples
- selective sampling
- recommendation quality
- learning process
- item based collaborative filtering