Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.
Runsheng YuYu GongXu HeBo AnYu ZhuQingwen LiuWenwu OuPublished in: CoRR (2020)
Keyphrases
- user preferences
- cold start
- meta learning
- personalized recommendation
- recommender systems
- user profiles
- collaborative filtering
- cold start problem
- learning tasks
- model selection
- inductive learning
- prediction accuracy
- user behavior
- decision trees
- user interests
- user feedback
- recommendation systems
- recommendation algorithms
- machine learning algorithms
- data sparsity
- collaborative filtering algorithms
- user model
- similarity measure
- e learning
- feature selection
- web users
- metamodel
- machine learning
- implicit feedback
- search engine