直近一年間の累計
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ID 116151
著者
Xue, Siyuan Tokushima University
キーワード
Knowledge Graph construction
Question-Answer system
Name entity recognition
E-commerce domain
資料タイプ
学術雑誌論文
抄録
With the development of E-commerce, the requirements of customers for products become more detailed, and the workload of customer service consultants will increase massively. However, the manufacturer is not obliged to provide specific product ingredients on the website. Therefore, it is necessary to construct a KBQA system to relieve the pressure of online customer service and effectively help customers to find suitable skincare production. For the cosmetic filed, the different basic cosmetics may have varied effects depending on its ingredients. In this paper, we utilize CosDNA website and online cosmetic websites to construct a cosmetic product knowledge graph to broaden the relationship between cosmetics, ingredients, skin type, and effects. Besides, we build the question answering system based on the cosmetic knowledge graph to allow users to understand product details directly and make the decision quickly.
掲載誌名
International Journal of Advanced Intelligence
ISSN
18833918
出版者
AIA International Advanced Information Institute
11
1
開始ページ
15
終了ページ
28
発行日
2020-04
EDB ID
フルテキストファイル
言語
eng
著者版フラグ
著者版
部局
理工学系