With the increasing interest and emphasis on customer demands in e-commerce, customer classification is in a crucial position for the development of e-commerce in response to the growing complexity in Internet commerce logistical markets. As such, it is highly desired to have a systematic system for extracting customer features effectively, and subsequently, analyzing customer orientations quantitatively. This paper presents a new approach that employs a modified fuzzy neural network based on adaptive resonance theory to group users dynamically based on their Web access patterns. Such a customer clustering method should be performed prior to Internet bookstores as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
- Applying Modified Fuzzy Neural Network to Customer Classification of E-Business
- Springer Berlin Heidelberg
Neuer Inhalt/© ITandMEDIA