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The Similar Store Extraction Method for The Store Recommendation System on E-Commerce

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  • ECサイトにおける店舗推薦システムに向けた類似店舗抽出手法

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Shopping mall type electronic commerce sites (EC-malls) has many stores created by store owners. The products on each store reflect the characteristics of the stores (selection, pricing, styles, etc.). And each store covers a wide range of product categories. Customers can view the items in the store unit, and can search for a wide range of items. However, it is difficult to identify preferred stores, because EC-Mall has many stores. We thought customers can search for favorite items if they can find preferred stores. In this paper, we proposed the similar store extraction method for the store recommendation system. In order to validate the effectiveness of the method, we conducted comparative experiments with store recommender system used the method and the random recommender system. The results show that the system used the proposed method finds preferred stores better, and the system has favorable conditions.


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