Abstract
The paper proposes the automatic generation method of the phenotype-mapping space for the applications of iGA (interactive Genetic Algorithm). The proposed method constructs the search space for iGA from the degree of association between the solutions. The iGA system developers do not need to bear a burden of labeling each solution with the proposed method. The degree of association between the solutions is calculated from the preference information accumulated on the Web. Recently, online services such as shopping-sites and social-bookmark store a lot of users' action logs. These informations include the users' Kansei and preference. We call these types of informations collective preference. The users find their preference by iGA search in the space generated from the collective preference. To verify the effectiveness of proposed method, we obtained the degree of association between the products from the online shopping sites and made the phenotype-mapping space. This relationship reflects the users' buying behavior. It was confirmed that the proposed method is able to generate the space automatically by the analysis of the generated space. Furthermore, we performed the subjective experiments with the iGA system which simulated a shopping site. From the experimental result, it was verified that the subjects' search log in the generated space was personalized by their own preference.
