On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering.
Ignacio Fernández-TobíasIván CantadorPublished in: UMAP (2015)
Keyphrases
- cross domain
- user preferences
- personality traits
- collaborative filtering
- transfer learning
- recommender systems
- knowledge transfer
- user behavior
- sentiment classification
- learning tasks
- text categorization
- data sparsity
- user specific
- product recommendation
- personalized recommendation
- human behavior
- recommendation systems
- collaborative filtering algorithms
- privacy concerns
- learning styles
- multi party
- multi modal
- user interests
- machine learning algorithms
- domain specific
- nearest neighbor
- pairwise
- decision making
- content based filtering
- data mining