MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information.
Honglin ShuFu-Lai ChungDa LinPublished in: Inf. Sci. (2023)
Keyphrases
- meta learning
- auxiliary information
- learning tasks
- inductive learning
- model selection
- external knowledge
- machine learning algorithms
- machine learning
- feature selection
- semi supervised
- decision trees
- prior knowledge
- data mining
- real world
- base classifiers
- metamodel
- supervised learning
- knowledge acquisition
- labeled data
- data sets
- databases
- knowledge base
- pairwise
- small number
- database
- multi class
- support vector machine
- domain knowledge