Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron-Reference-Cited by-同舟云学术

Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron

Published:2021-07-31 Issue: Volume: Page:1-13
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Wang Yue¹^ORCID,Li Xiang²,Zhang Linda L.³,Mo Daniel¹^ORCID

Affiliation:

1. Department of Supply Chain and Information Management, The Hang Seng University of Hong Kong, Hong Kong SAR, People’s Republic of China

2. Department of Information Systems, The City University of Hong Kong, Hong Kong SAR, People’s Republic of China

3. IESEG School of Management, Univ. Lille, CNRS, UMR 9221 – LEM – Lille Economie Management, Lille, France

Funder

Hong Kong RGC FDS

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1957508

Reference54 articles.

1. Deep learning in the construction industry: A review of present status and future innovations

2. Barco, A. F., E. Vareilles, and C. I. Osorio. 2018. “Insights for Configuration in Natural Language.” Proceedings of the 20th Configuration Workshop, Graz, Austria, 15–18.

3. Mass customisation as a collaborative engineering effort

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