Personalization for Network Marketing

Personalized network marketing refers to the technique that allows network-marketing decisions to be made based on the results of the collection and analysis of user profiles. In this paper, we propose an interactive questionnaire mechanism whose design objective is to produce timely and reliable user profile attributes in an incremental fashion through an intelligent interface accessible from web environment. Subsequently, a profile analyzer that utilizes data mining techniques is employed to select fitted users from the user profile database thus collected, and then feed the result back to the intelligent interface mechanism to improve the quality of the collected database profiles. In particular, questions used to reveal attributes can be prioritized based on an adjustable mechanism geared to the particular marketing objectives. To implement the proposed interactive questionnaire mechanism, we have made use of graphical questionnaire design tools, such as question editor, profile editor, and rule editor. For a vivid illustration of the personalized network marketing technique, we have applied our implementation to a web site to demonstrate how user profiles are collected, and how, in turn, marketing decisions are made accordingly.