Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society.
Soma BandyopadhyayS. S. ThakurJ. K. MandalPublished in: Innov. Syst. Softw. Eng. (2021)
Keyphrases
- principal component analysis
- product recommendation
- electronic commerce
- principal components
- collaborative filtering
- recommender systems
- independent component analysis
- dimensionality reduction
- face recognition
- user preferences
- business models
- linear discriminant analysis
- low dimensional
- feature extraction
- business process
- covariance matrix
- dimension reduction
- data mining
- face images
- product information
- feature space
- business processes
- artificial intelligence
- electronic markets
- cross selling
- lower dimensional
- kernel pca
- ethical issues
- dimension reduction methods
- product reviews
- sentiment classification
- kernel principal component analysis
- knowledge management
- probabilistic model
- high dimensional
- machine learning