Preliminary experimentation about interactive spiral knowledge mining based on conjoint analysis

Authors:
Castel Dennis;Tsuji Hiroshi
Affiliations:
Osaka Prefecture University, Osaka, Sakai-shi, Naka-ku, Gakuen-cho;Osaka Prefecture University, Osaka, Sakai-shi, Naka-ku, Gakuen-cho
Venue:
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Year:
2011

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Abstract

In order to point out the best utility of product, with the help of questionnaire, marketers need to clearly understand the preference and choice of the consumers. However, this preference may depend of a lot of parameters and it may difficult for the marketers to be sure of the consistency of consumer's responses. If consumers could receive a feedback or compare their results with other consumers, it will help the marketers to get more precise analysis' results. This paper proposes to construct a web-based Interactive Spiral Questionnaire based on Conjoint Analysis with Stepwise Refinement and Personal Diagnosis helping for Social Norm Comparison.