Recommendation in feature space sphere.
Zhi-Lin ZhaoChang-Dong WangYuan-Yu WanJian-Huang LaiPublished in: Electron. Commer. Res. Appl. (2017)
Keyphrases
- feature space
- recommender systems
- high dimensional
- collaborative filtering
- high dimensionality
- kernel function
- mean shift
- input space
- training samples
- feature vectors
- recommendation systems
- data points
- image representation
- training set
- principal component analysis
- dimensionality reduction
- feature selection
- image retrieval
- dot product
- kernel methods
- feature extraction
- user preferences
- high dimensional feature space
- input data
- machine learning
- dissimilarity measure
- low dimensional
- dimension reduction
- linear discriminant analysis
- classification accuracy
- multiscale
- learning algorithm