When Recommender Systems Snoop into Social Media, Users Trust them Less for Health Advice.
Yuan SunMagdalayna DrivasMengqi LiaoS. Shyam SundarPublished in: CHI (2023)
Keyphrases
- recommender systems
- social media
- trust aware
- collaborative filtering
- user generated content
- trust propagation
- cold start problem
- information overload
- user profiles
- user model
- user feedback
- rating prediction
- user modeling
- implicit feedback
- data sparsity
- social network sites
- recommendation algorithms
- user generated
- recommendation systems
- user participation
- user interests
- social networks
- injection attacks
- user profiling
- active user
- user similarity
- social connections
- health care
- user ratings
- end users
- trust model
- user preferences
- online dating
- social media platforms
- big data
- matrix factorization
- user interaction
- product recommendation
- social networking sites
- cold start
- health information
- collaborative recommender systems
- user interface
- user satisfaction
- social media data
- social media sites
- online forums
- social context