A Meta-Learning Perspective on Cold-Start Recommendations for Items.
Manasi VartakArvind ThiagarajanConrado MirandaJeshua BratmanHugo LarochellePublished in: NIPS (2017)
Keyphrases
- cold start
- meta learning
- recommender systems
- cold start problem
- collaborative filtering
- learning tasks
- inductive learning
- model selection
- data sparsity
- tag recommendation
- personalized recommendation
- user preferences
- implicit feedback
- machine learning algorithms
- decision trees
- machine learning
- data sparseness
- user ratings
- matrix factorization
- recommendation algorithms
- feature selection
- metamodel
- supervised learning
- base classifiers
- data sets
- markov random field
- information retrieval
- data mining