RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce.
Liping YangXiaxia NiuJun WuPublished in: CoRR (2021)
Keyphrases
- electronic commerce
- bayesian networks
- customer relationship management
- ensemble methods
- ensemble learning
- radio frequency
- probabilistic model
- generative model
- online stores
- learning algorithm
- training data
- relevance feedback
- product information
- random forests
- belief networks
- consumer behavior
- business models
- purchasing behavior
- customer base
- customer behavior
- electronic payment
- neural network
- customer service
- learning community
- uncertain data
- community structure
- knowledge sharing
- data mining