Recommender systems for mental health apps: advantages and ethical challenges.
Lee ValentineSimon D'AlfonsoReeva LedermanPublished in: AI Soc. (2023)
Keyphrases
- mental health
- recommender systems
- collaborative filtering
- lessons learned
- legal issues
- key issues
- mobile platforms
- user preferences
- real world
- open issues
- technical challenges
- ethical issues
- matrix factorization
- information systems
- mobile apps
- user profiling
- cold start problem
- development tools
- privacy issues
- neural network
- unique features
- case study
- cold start
- practical issues
- product recommendation
- information filtering
- mobile devices
- trust aware