Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems.
Matthias BraunhoferMehdi ElahiMouzhi GeFrancesco RicciPublished in: HCI (15) (2014)
Keyphrases
- context dependent
- recommender systems
- active learning
- user preferences
- personality traits
- preference learning
- semantic level
- collaborative filtering
- context free
- personal preferences
- mobile devices
- mobile phone
- matrix factorization
- low level
- user centric
- user modeling
- user profiles
- mobile applications
- natural language
- learning strategies
- learning algorithm
- random sampling
- machine learning
- semi supervised
- context aware
- high level
- active learning strategies
- relevance feedback
- mobile environments
- preference relations
- personalized recommendation
- training set
- cold start problem
- selective sampling
- personality types
- product features
- emotional state
- experimental design
- recommendation systems
- multi attribute
- mobile learning