Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.
Runsheng YuYu GongXu HeYu ZhuQingwen LiuWenwu OuBo AnPublished in: AAAI (2021)
Keyphrases
- user preferences
- cold start
- meta learning
- personalized recommendation
- recommender systems
- user profiles
- collaborative filtering
- cold start problem
- learning tasks
- inductive learning
- user behavior
- machine learning algorithms
- recommendation algorithms
- model selection
- recommendation systems
- prediction accuracy
- user model
- metamodel
- decision trees
- data mining
- machine learning
- user feedback
- tag recommendation
- data sparsity
- e learning
- user interests
- base classifiers
- knn
- feature selection
- matrix factorization
- development process
- transfer learning
- implicit feedback
- user ratings
- collaborative filtering algorithms