Transfer Learning in Collaborative Recommendation for Bias Reduction.
Zinan LinDugang LiuWeike PanZhong MingPublished in: RecSys (2021)
Keyphrases
- transfer learning
- collaborative recommendation
- collaborative filtering
- association rules
- cold start problem
- data sparsity
- user profiling
- user preferences
- spreading activation
- knowledge transfer
- cross domain
- personalized recommendation
- reinforcement learning
- active learning
- recommender systems
- machine learning
- labeled data
- text categorization
- text classification
- machine learning algorithms
- semi supervised learning
- target domain
- multi task
- learning algorithm
- transfer knowledge
- text mining
- databases
- recommendation systems
- semantic network
- data points
- high dimensional
- natural language
- cold start
- similarity measure
- data mining