Effect of the Number of Users and Bias of Users' Preference on Recommender Systems.
Akihiro YamashitaHidenori KawamuraHiroyuki IizukaAzuma OhuchiPublished in: IDEAL (2007)
Keyphrases
- recommender systems
- collaborative filtering
- information overload
- user interface
- user profiles
- cold start problem
- novice users
- personal preferences
- end users
- user preferences
- user experience
- information seeking
- user feedback
- user interests
- small number
- user model
- user modeling
- user requirements
- online dating
- social networks
- recommendation systems
- user satisfaction
- context aware
- information sources
- social media
- metadata