Research on process recommendation algorithm based on user intent perception

Yajun Wang; Bo Jin

doi:10.1117/12.3011525

7 December 2023 Research on process recommendation algorithm based on user intent perception

Yajun Wang, Bo Jin

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410J (2023) https://doi.org/10.1117/12.3011525
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

With the rapid development of the manufacturing industry, the design of manufacturing processes has become increasingly complex, and there is a growing demand from companies and users for efficient process recommendation systems. However, existing research on process recommendation often overlooks the importance of user intent. In reality, user intent often consists of multiple facets, each with different emphases, collectively driving users to choose different processes. For example, an intent to meet tight deadlines may favor less time-consuming processes, while an intent for safety requirements may prefer more mature processes. Disregarding the notion of multiple intents from users would confine the modeling of interactions between users and processes. Therefore, to enhance the efficiency and quality of process design, this paper proposes an intent-aware manufacturing process recommendation algorithm. This algorithm combines process knowledge activity analysis with intent awareness and establishes a mapping between process knowledge and process knowledge graph through graph representation learning and attention mechanisms, enabling perception of user intent and corresponding process knowledge recommendation. Through empirical validation and application, this paper demonstrates the effectiveness and practicality of the algorithm. Experimental results show that the intent-aware process knowledge recommendation algorithm significantly improves the efficiency and accuracy of process design, providing strong support for the development of the manufacturing industry.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yajun Wang and Bo Jin "Research on process recommendation algorithm based on user intent perception", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410J (7 December 2023); https://doi.org/10.1117/12.3011525

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KEYWORDS

Design and modelling

Manufacturing

Process modeling

Modeling

Data processing

Semantics

Neural networks

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