Research on manufacturing service recommendation method based on Product-based Neural Network

DOI

10.2991/978-94-6463-490-7_13How to use a DOI?

Keywords

Product-based Neural Networks (PNN); Manufacturing Service Recommendation

Abstract

Addressing the issue of overwhelming information on cloud-based manufacturing service platforms due to an excessive volume of service-related data, a manufacturing service recommendation method based on Product-based Neural Network (PNN) is proposed, which successfully solved the shortcomings of traditional recommendation technology in utilizing manufacturing service characteristics. By predicting the manufacturing service rating, the manufacturing service recommendation to the user is completed. Findings indicate that the PNN-driven rating forecast model markedly augments the accuracy of the recommendation system.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lei Wang
AU  - Lingrui Zhao
PY  - 2024
DA  - 2024/08/31
TI  - Research on manufacturing service recommendation method based on Product-based Neural Network
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 109
EP  - 114
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_13
DO  - 10.2991/978-94-6463-490-7_13
ID  - Wang2024
ER  -