Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron
暂无分享,去创建一个
Linda L. Zhang | Yue Wang | Xiang Li | Linda L. Zhang | Daniel Mo | D. Mo | Yue Wang | Xiang Li
[1] Linda L. Zhang,et al. Product configuration: a review of the state-of-the-art and future research , 2014 .
[2] Marieke van Erp,et al. Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series , 2017, Semantic Web.
[3] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[4] Shu-Hsuan Chang,et al. Applying case-based reasoning for product configuration in mass customization environments , 2005, Expert Syst. Appl..
[5] Andrew Y. C. Nee,et al. Web-based configuration design system for product customization , 2006 .
[6] Lars Hvam,et al. The main challenges for manufacturing companies in implementing and utilizing configurators , 2018, Comput. Ind..
[7] H. Xie *,et al. Modelling and solving engineering product configuration problems by constraint satisfaction , 2005 .
[8] C.-C. Chen,et al. Coordinating product configuration in the order fulfilment processing: an approach based on the binary tree algorithm , 2006, Int. J. Comput. Integr. Manuf..
[9] Qi Wang,et al. Optimisation of product configuration in consideration of customer satisfaction and low carbon , 2017, Int. J. Prod. Res..
[10] Lars Hvam,et al. A layout technique for class diagrams to be used in product configuration projects , 2010, Comput. Ind..
[11] Alexander Felfernig,et al. Towards recommending configurable offerings , 2010 .
[12] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[13] Yue Wang,et al. Needs-Based Product Configurator Design for Mass Customization Using Hierarchical Attention Network , 2021, IEEE Transactions on Automation Science and Engineering.
[14] John R. Hauser,et al. Identifying Customer Needs from User-Generated Content , 2019, Mark. Sci..
[15] Chuntao Liu,et al. Customer-driven product configuration optimization for assemble-to-order manufacturing enterprises , 2008 .
[16] Lars Hvam,et al. Guidelines for Structuring Object-Oriented Product Configuration Models in Standard Configuration Software , 2020, J. Univers. Comput. Sci..
[17] Yue Wang,et al. An approach to improve the efficiency of configurators , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.
[18] Mitchell M. Tseng,et al. Mapping customer needs to design parameters in the front end of product design by applying deep learning , 2018 .
[19] Michel Aldanondo,et al. Optimisation of the concurrent product and process configuration: an approach to reduce computation time with an experimental evaluation , 2019, Int. J. Prod. Res..
[20] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[21] Karl T. Ulrich,et al. Research Note: User Design of Customized Products , 2007 .
[22] Tai-Hsi Wu,et al. Solutions for product configuration management: An empirical study , 2005, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[23] Chao Liu,et al. Personalized product configuration framework in an adaptable open architecture product platform , 2017 .
[24] F. Piller,et al. Cracking the Code of Mass Customization , 2009 .
[25] Yue Wang,et al. Configuration-Based Smart Customization Service: A Multitask Learning Approach , 2020, IEEE Transactions on Automation Science and Engineering.
[26] David W. Franke. Configuration research and commercial solutions , 1998, Artif. Intell. Eng. Des. Anal. Manuf..
[27] C. Forza,et al. Product configurator impact on product quality , 2012 .
[28] Arnaud De Bruyn,et al. Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids , 2008, Mark. Sci..
[29] Cipriano Forza,et al. Sales configurator capabilities to avoid the product variety paradox: Construct development and validation , 2013, Comput. Ind..
[30] Dong Yang,et al. Applying constraint satisfaction approach to solve product configuration problems with cardinality-based configuration rules , 2013, J. Intell. Manuf..
[31] Guoyin Wang,et al. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms , 2018, ACL.
[32] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[33] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[34] John P. McDermott,et al. R1: A Rule-Based Configurer of Computer Systems , 1982, Artif. Intell..
[35] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[36] Andrew Kusiak,et al. Optimising product configurations with a data-mining approach , 2009 .
[37] Lukumon O. Oyedele,et al. Deep learning in the construction industry: A review of present status and future innovations , 2020 .
[38] Yu Yang,et al. A product configuration approach based on online data , 2019, J. Intell. Manuf..
[39] Mitchell M. Tseng,et al. Mass customisation as a collaborative engineering effort , 2009 .
[40] Tim Menzies,et al. Easy over hard: a case study on deep learning , 2017, ESEC/SIGSOFT FSE.