An E-commerce Recommender System Using Measures of Specialty Shops
Daisuke Kitayama, Motoki Zaizen and Kazutoshi Sumiya
Transactions on Engineering Technologies,pp.369-383,2014年12月,査読有
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概要
The use of online shopping sites, such as Amazon and Rakuten, has increased in recent years. Many stores now offer online shops, with the categories of the shop items representing various intended uses. For example, a flashlight may be used for camping or emergencies, so this item may be listed under categories such as “Outdoors” or “Emergency Supplies” in the shop. In this paper, we aim to build a recommender system for specialty shops based on the viewpoints of items browsed by users. We first extract the viewpoints of browsed items by using the category structures of online shops. Thereafter, we analyze the category structures and the selection of goods to determine specialty shops.