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

页码：181 / 184

页数：4

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