Research on the influence of interpretability of artificial intelligence recommendation system on users' behavior intention.
Gaoshan WangXiquan LiuZhongguo WangXuelan YangPublished in: EITCE (2020)
Keyphrases
- artificial intelligence
- recommender systems
- collaborative filtering
- recommendation systems
- user perceptions
- social influence
- personality traits
- social media
- information sources
- machine learning
- intelligent systems
- expert systems
- information retrieval
- end users
- user interface
- context aware
- behavioral intention
- user satisfaction
- user feedback
- user groups
- user interests
- behave differently
- information systems
- computer science
- log data
- knowledge representation
- web content
- user interaction
- computational intelligence