Batch versus Sequential Active Learning for Recommender Systems.
Toon De PessemierSander VanhoveLuc MartensPublished in: CoRR (2022)
Keyphrases
- recommender systems
- active learning
- batch mode
- collaborative filtering
- semi supervised
- learning algorithm
- selective sampling
- machine learning
- user modeling
- information overload
- random sampling
- matrix factorization
- user model
- learning strategies
- user preferences
- online learning
- cold start problem
- supervised learning
- user profiling
- user profiles
- imbalanced data classification
- pool based active learning
- trust aware
- relevance feedback
- labeled data
- training set
- cold start
- information filtering
- batch processing
- information retrieval
- recommendation quality
- batch learning
- data sets
- collaborative filtering recommender systems
- training examples