Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5466966 | CIRP Annals - Manufacturing Technology | 2017 | 4 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Ang Liu, Stephen Lu, Zhinan Zhang, Tianmeng Li, Youbai Xie,