KEMIM: Knowledge-Enhanced User Multi-Interest Modeling for Recommender Systems.
Fan YangYong YueGangmin LiTerry R. PayneKa Lok ManPublished in: IEEE Access (2023)
Keyphrases
- recommender systems
- information overload
- user model
- collaborative filtering
- user preferences
- user modeling
- user profiles
- knowledge base
- prior knowledge
- domain knowledge
- personal preferences
- knowledge acquisition
- cold start
- user interaction
- user modelling
- cold start problem
- recommendation algorithms
- user profiling
- trust aware
- user context
- user interests
- user satisfaction
- knowledge management
- web search
- knowledge discovery
- knowledge representation
- user experience
- eye tracking
- knowledge based systems
- user ratings
- information retrieval systems
- collaborative recommendation
- active user
- end users
- recommendation quality
- information systems