Dimension Reduction Method by Principal Component Analysis in the Prediction of Final User Satisfaction.
Kitti KoonsanitDaiki HirumaNobuyuki NishiuchiPublished in: IIAI-AAI (2022)
Keyphrases
- user satisfaction
- reduction method
- principal component analysis
- information systems
- selection algorithm
- service quality
- customer satisfaction
- structural equation modeling
- feature space
- dimensionality reduction
- low dimensional
- face recognition
- information quality
- perceived usefulness
- user perceptions
- user experience
- multiresolution
- artificial neural networks
- feature extraction