MUBS: A Personalized Recommender System for Behavioral Activation in Mental Health.
Darius A. RohaniAndrea Quemada LopateguiNanna TuxenMaria Faurholt-JepsenLars Vedel KessingJakob E. BardramPublished in: CHI (2020)
Keyphrases
- mental health
- recommender systems
- user profiles
- personalized recommendation
- information filtering
- user modeling
- product recommendation
- user model
- collaborative filtering
- personal preferences
- personalized search
- user preferences
- matrix factorization
- personalized services
- user feedback
- individual user
- web personalization
- providing personalized
- user context
- cold start problem
- implicit feedback
- information processing
- adaptive learning
- information overload
- recommendation systems
- user profiling
- cold start
- user interests
- recommendation quality
- personalized information
- functional mri
- e learning