Aspect-based Active Learning for User Preference Elicitation in Recommender Systems.
María Hernández-RubioAlejandro BellogínIván CantadorPublished in: CIRCLE (2020)
Keyphrases
- user preferences
- recommender systems
- active learning
- collaborative filtering
- user behavior
- user profiles
- matrix factorization
- information overload
- information filtering
- user feedback
- recommendation systems
- selective sampling
- utility function
- supervised learning
- transfer learning
- random sampling
- user behaviour
- training set
- social influence
- product recommendation
- cold start
- user specific
- machine learning
- relevance feedback
- collaborative recommendation
- making recommendations
- preference learning
- preference model
- preference models
- user interests
- recommendation algorithms
- user model
- labeled data
- semi supervised
- learning process
- data sparsity
- implicit feedback
- cold start problem
- personalized recommendation
- similarity measure
- learning algorithm