One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level.
Andrew CollinsJöran BeelDominika TkaczykPublished in: CoRR (2018)
Keyphrases
- meta learning
- recommendation algorithms
- recommender systems
- micro level
- collaborative filtering
- macro level
- learning tasks
- user preferences
- inductive learning
- recommendation systems
- personalized recommendation
- cold start
- model selection
- product recommendation
- machine learning algorithms
- filtering algorithm
- social networks
- decision trees
- base classifiers
- feature selection
- data mining
- machine learning
- metamodel
- transfer learning
- organizational learning
- learning algorithm
- databases
- kernel methods
- cognitive processes
- background knowledge
- prediction accuracy
- multi class
- data model
- knowledge base