STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning.
Nathan BeckAdithya IyerRishabh K. IyerPublished in: CoRR (2024)
Keyphrases
- cold start
- active learning
- recommender systems
- collaborative filtering
- cold start problem
- data sparsity
- tag recommendation
- transfer learning
- implicit feedback
- user preferences
- relevance feedback
- personalized recommendation
- supervised learning
- learning algorithm
- matrix factorization
- semi supervised
- learning process
- unlabeled data
- labeled data
- training set
- data sparseness
- user ratings
- machine learning
- semi supervised learning
- website