research-article
Authors: Youhua Yu, Xiaolan Xie, Yunlong Cui
EBIMCS '22: Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science
Pages 24 - 28
Published: 05 May 2023 Publication History
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Abstract
In recent years, with the continuous innovation of science and technology, users' demand for electronic products gradually presents a diversified trend. However, there are a wide variety of electronic products in the market and the products are updated quickly, which brings great difficulties for users to choose. To solve the above problems, this paper proposes a particle swarm optimization hybrid ant colony optimization algorithm to solve the CTO (Configure To Order) recommendation model of high-end electronic products, so as to provide customers with unique personalized customization services for electronic products. The simulation results show that the algorithm has good performance in solving the CTO recommendation model of electronic products.
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Published In
EBIMCS '22: Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science
December 2022
396 pages
ISBN:9781450397827
DOI:10.1145/3584748
- Editors:
- Rita Yi Man Li,
- Julien S. Baker,
- Vladimir Chigrinov,
- Smain FEMMAM
Copyright © 2022 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 May 2023
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Author Tags
- CTO
- Electronic Products
- PSO-ACO
- Recommendation Model
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
EBIMCS
EBIMCS: 2022 5th International Conference on E-Business, Information Management and Computer Science
December 29 - 30, 2022
Hong Kong, Hong Kong
Acceptance Rates
Overall Acceptance Rate 143 of 708 submissions, 20%
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