Function recommender system for product planning and design

被引：10
|
作者：
Liu, Ang [1 ]
Lu, Stephen [2 ]
Zhang, Zhinan [3 ]
Li, Tianmeng [1 ]
Xie, Youbai [3 ]
机构：
[1] Univ New South Wales, Sydney, NSW 2052, Australia
[2] Univ Southern Calif, Los Angeles, CA 90089 USA
[3] Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China
来源：
CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2017年 / 66卷 / 01期
关键词：
Design method; Product planning; Recommender system; GENERATION; FRAMEWORK;
D O I：
10.1016/j.cirp.2017.04.041
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Functions play a critical role in bridging intangible user needs and physical design parameters. Recommender systems ubiquitously exist in eCommerce to recommend new products to a target user. However, in most cases, the main purpose for users to acquire a product is to gain its functionality rather than owning its physical embodiment. Inspired by existing recommender systems for eCommerce, this paper presents a function recommender system for product planning and design, which represents a revolutionizing paradigm of recommending new functions to a product. A systemic function recommendation process is elaborated, and a case study is presented to showcase practical applications. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.
引用
收藏
页码：181 / 184
页数：4
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