This paper proposes a method to construct My Page, which is an effective one to one marketing method for Internet Service Providers (ISPs). One of the challenges on constructing My Page is the heavy load on the hardware when extracting customer preference information due to the enormous number of customers and the extremely broad areas that the customers might be interested in. To accomplish this, we have constructed a knowledge dictionary that can be dynamically updated and used for extraction of customer preference information at the Access Point Servers. Another challenge is how to grasp not only the customer preferences but also the trends of the preferences and the markets speedy and accurately. In this proposed method, we add time axis to make it three-dimensional vectors in order to manage the preference transitions and the market trends. © Springer-Verlag 2004.
CITATION STYLE
Kessoku, M., Takahashi, M., & Tsuda, K. (2004). A Method of Customer Intention Management for a My-Page System. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3213, 523–529. https://doi.org/10.1007/978-3-540-30132-5_74
Mendeley helps you to discover research relevant for your work.