| （英） |
This paper proposes a visualization method of user sets' preferences by analyzing purchase data. In this method, feature vectors are calculated by using pairs of products purchased at the same time. Furthermore, by comparing user sets which are classfi ed in advance to the other user sets, diff erences of the preferences between diff erent user sets are represented. In addition, we analyze purchase data based on Bag-of-Words. Therefore, even if we cannot obtain enough a user's purchase data, we are able to extract the user's preference by utilizing purchase data of user set which the user is belong to. Furthermore, we apply multidimensional scaling to feature vectors which represent the preferences of user sets. Consequently, the visualization of the user set's preference is realized eff ectively. |