A multi-aspect user-interest model based on sentiment analysis and uncertainty theory for recommender systems.
Lihua SunJunpeng GuoYanlin ZhuPublished in: Electron. Commer. Res. (2020)
Keyphrases
- multi aspect
- sentiment analysis
- user interests
- recommender systems
- collaborative filtering
- user profiles
- user generated
- opinion mining
- user model
- personalized recommendation
- data analysis
- rating prediction
- user preferences
- text classification
- sentiment classification
- sentence level
- information overload
- text mining
- natural language processing
- user context
- user behavior
- active learning
- sentiment lexicon
- neural network
- public opinion
- information extraction
- social networks