Active Learning for Co-Clustering Based Collaborative Filtering.
Le Quang ThangTu Minh PhuongPublished in: RIVF (2010)
Keyphrases
- collaborative filtering
- active learning
- recommender systems
- transfer learning
- matrix factorization
- deal with information overload
- data sparsity
- supervised learning
- active learning strategies
- random sampling
- learning algorithm
- semi supervised
- probabilistic matrix factorization
- training set
- labeled data
- machine learning
- recommendation systems
- selective sampling
- cold start problem
- learning strategies
- training examples
- user profiles
- user preferences
- batch mode
- unlabeled data
- learning process
- relevance feedback
- sample selection
- recommendation quality
- data mining
- imbalanced data classification
- pool based active learning
- hybrid recommendation
- web page recommendation
- website
- crowd sourced
- latent factor models
- semi supervised learning
- user ratings
- information filtering
- search engine