Title
A personalized requirement identifying model for design improvement based on user profiling
Abstract
The personalization of products and services has become an inevitable trend in the manufacturing and service industry, but it is very difficult to identify users' personalized requirements accurately. This paper solves this problem by constructing an identifying model for personalized requirement based on user profiling. Firstly, the framework of the proposed model and the process of identifying the user's personalized requirements with this model are introduced, and then an experimental scheme for obtaining users' profiling data is designed. On this basis, an experiment is performed by investigating users' requirements for the computer to obtain the data, and the data are used for the analysis based on the proposed model. The analysis result shows that the model can reveal the difference among heterogeneous users well, find out the implicit requirements of users, and identify the gap between existing products and users' personalized requirements, which provides support to the subsequent improvement of product design.
Year
DOI
Venue
2020
10.1017/S0890060419000301
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
Keywords
DocType
Volume
Design improvement,personalized requirement,requirement identifying,user profiling
Journal
34
Issue
ISSN
Citations 
SP1
0890-0604
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jing Li100.34
Xinwei Zhang200.34
Keqin Wang300.34
Chen Zheng401.69
Shurong Tong500.34
Benoît Eynard614928.57