Recommender system by grasping individual preference and influence from other users.
Tae SatoMasanori FujitaMinoru KobayashiKoji ItoPublished in: ASONAM (2013)
Keyphrases
- recommender systems
- individual preferences
- collaborative filtering
- user preferences
- user profiles
- personal preferences
- user model
- recommendation quality
- online dating
- individual user
- recommendation systems
- social influence
- matrix factorization
- user modeling
- user feedback
- user specific
- end users
- information overload
- implicit feedback
- cold start
- user interests
- information filtering
- personalized search
- data sparsity
- cold start problem
- product recommendation
- preference model
- user interface
- user experience
- active user
- viral marketing
- multi attribute