Association-rule-based User Segmenta-tion: An Empirical Study
Ming Ren, Qiang Wei, Wei Xu · 2010
Segmentation is becoming crucial than ever for proper exploration of information and delivery of services to the users in a personalized manner.This paper proposes a user segmentation method based on association rules discovered in large databases, and represents the hierarchical segmentation by the Entity-Relationship model, which is easy to understand.To evaluate the proposed model, the understandability of the model is studied from the perspective of a modeler.The experiment result shows that the models were understandable and richer in semantics, and that the level of segmentation hierarchy might affect the degree of understandability.