Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide BuffelliAshish GuptaAgnieszka StrzalkaVassilis PlachourasPublished in: CoRR (2023)
Keyphrases
- cold start problem
- meta learning
- recommender systems
- inductive learning
- learning tasks
- collaborative filtering
- cold start
- model selection
- matrix factorization
- item based collaborative filtering
- data sparsity
- machine learning algorithms
- decision trees
- information overload
- user preferences
- user profiles
- recommendation algorithms
- feature selection
- metamodel
- personalized recommendation
- recommendation systems
- base classifiers
- transfer learning
- data sets
- text mining
- learning algorithm
- machine learning
- user model
- user feedback
- pairwise
- bayesian networks
- training data
- implicit feedback
- e learning
- data mining