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5. Match and inference of experiment
Near preference attribute ot near preference attribut
Sex Size of clothes Color Category of clothes
In experiment, we treated sex and the size as body attribute information as data of clothes ,and we treated the color and the category of clothes as preference
Body attribute
Preference attribute
attribute information as data of clothes[3].
Sex man
Example
Size of clothes M
Color gray
Category of clothes J
Preference attribute
Color
Fig. 7. Inference model; This shows Inference model. The inference
model used is approved from three layers.
The bottom of the layer is an input layer and personal attribute information is input there. The system takes out two products from data base that is extracted by the body attribute, and infers. The data of the product of the sex, the size, the color, and the category of clothes is stored in inside layer. A product near preference attribute information and a product not near preference attribute information are output. The
the another product and the product near the preference attribute in the same way. The system decides the most suitable product for preference attribute information in the product’s data base that is extracted by the body attribute by repeating this work. Finally, remaining product is presented to the user as a recommendation product of the shop.
6. Experiment and result
Fig. 6. Classification; This shows classification of body attribute and
preference attribute, and the category of clothes in this research.
We think the recommendation of the product not suitable for the body attribute even if the preference attribute is suitable is meaningless in experiment. Therefore, first, we have the system infer the product’s data base of the shop based on user's body attribute and, make the product’s data base that is extracted by the body attribute. Then, we have the system infer the product’s data base that is extracted by the body attribute based on the preference attribute. Finally, the most suitable product for personal attribute is decided.
The inference model is approved from three layers.
We experimented on two patterns. In subject 1, user has body attribute information that user's sex is a man, and the size of user's clothes is M, and user has preference attribute information that user is interested in the black, and user is interested in jacket group and long sleeve inner group.
In subject2, user has body attribute information that user's sex is a woman, and the size of user's clothes is S, and user has preference attribute information that user is interested in the white, and user is interested in skirt group and short sleeve inner group.
returned with mail. Even in this case, the user can see the image of the product user pointed.
6.3. Evaluation of experiment
In experiment we questioned eight people about this system. The question is whether liked the recommendation product or not, and about utility of system. We had the testee evaluate the system by five stages. The result like figure14,15 was obtained as a
result. There was a testee who had evaluated two in
Fig. 8. Experimental subject; This shows body attribute and
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