ID | 116151 |
Author |
Xue, Siyuan
Tokushima University
Ren, Fuji
Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
|
Keywords | Knowledge Graph construction
Question-Answer system
Name entity recognition
E-commerce domain
|
Content Type |
Journal Article
|
Description | 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.
|
Journal Title |
International Journal of Advanced Intelligence
|
ISSN | 18833918
|
Publisher | AIA International Advanced Information Institute
|
Volume | 11
|
Issue | 1
|
Start Page | 15
|
End Page | 28
|
Published Date | 2020-04
|
EDB ID | |
FullText File | |
language |
eng
|
TextVersion |
Author
|
departments |
Science and Technology
|