PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data

@article{Chen2018PurTreeClustAC,
  title={PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data},
  author={Xiaojun Chen and Yixiang Fang and Min Yang and Feiping Nie and Zhou Zhao and Joshua Zhexue Huang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2018},
  volume={30},
  pages={559-572}
}
Clustering of customer transaction data is an important procedure to analyze customer behaviors in retail and e-commerce companies. Note that products from companies are often organized as a product tree, in which the leaf nodes are goods to sell, and the internal nodes (except root node) could be multiple product categories. Based on this tree, we propose the “personalized product tree”, named purchase tree, to represent a customer’s transaction records. So the customers’ transaction data set… CONTINUE READING

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