A Time-Dependent Principal Components-Based Dimension Reduction Approach to Analyzing the Influence of Product Interventions on User Engagement with Mobile Applications.
Lior TurgemanOtis SmartPublished in: SERVICES (2018)
Keyphrases
- dimension reduction
- mobile applications
- principal components
- principal component analysis
- user engagement
- user experience
- dimensionality reduction
- feature extraction
- variable selection
- feature space
- low dimensional
- linear discriminant analysis
- face recognition
- manifold learning
- mobile phone
- context aware
- user interaction
- singular value decomposition
- independent component analysis
- partial least squares
- user interface
- high dimensional data
- high dimensional
- feature selection
- unsupervised learning
- mobile devices
- principal components analysis
- end users
- covariance matrix
- high dimensionality
- user behavior
- principal component regression
- feature set
- social media
- discriminant analysis
- expert systems
- decision trees
- image processing
- data mining
- databases