アパレルオンラインショッピングにおけるワン・トゥ・ワンのリコメンドシステム

概要

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We propose an apparel online shopping site that the fashion adviser exists on the internet. The fashion adviser, who has detailed knowledge about the fashion in real shop, selects and coordinates the clothes of the customers preference. However, the customer, who didnt have detailed knowledge about the fashion, was not able to choose the clothes suitable for the customers preference from among the candidate of a large amount of clothes on a conventional apparel shopping site. Then, we compose the system that analyzes the customers preference by the AHP technique, makes to the cluster by the correlation of clothes, and analyzes the market basket. As a result, this system can coordinate the clothes appropriate for the favor of an individual customer. Moreover, this system can propose the recommendation of other clothes based on past sales data.
社団法人電気学会の論文
2008-08-01