Personalization for Network Marketing

• Main Authors: Liao, Kuo-Kan, 廖國淦
• Other Authors: Chung, Sheng-Luen
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/00337476062329840700

碩士 === 國立臺灣科技大學 === 電機工程系 === 90 === The technique of personalization for network marketing is made possible through the collection and analysis of on-line user profiles, upon which marketing and sales decisions are made. Techniques from A.I. and data mining are utilized to construct personal data profiles of on-liners. In doing so, one of the main features in our proposed approach is to collect user profile through a friendly GUI-based interactive mechanism that allows each individual user profile be collected flexibly and incrementally, while attaining user data with high degree of validity. On top of the user profile database thus obtained, the other of our proposed features is to make pertinent sales suggestion to each on-liner through data mining techniques. We have developed a Graphic Questionnaire Design environment that includes: question editor, user attribute editor, and question rule editor. Overall, the proposed system is implemented in a 3-tier open environment with several marketing examples.