The Influence of Bandit-Based User Openness Feature on Recommendation Diversity and Accuracy.
Yuxiang LinShaozhen YePublished in: ISPA/BDCloud/SocialCom/SustainCom (2019)
Keyphrases
- recommendation algorithms
- user preferences
- recommender systems
- collaborative filtering
- recommendation systems
- high accuracy
- user interface
- user modeling
- user experience
- feature vectors
- information overload
- image features
- user interaction
- user profiles
- user feedback
- long tail
- user satisfaction
- end users
- recommendation quality
- prediction accuracy
- classification accuracy
- web page recommendation
- cold start problem
- helping users
- collaborative recommendation
- feature selection
- cold start
- individual user
- user profiling
- user interests
- computational complexity