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CTO Recommendation of Electronic Products Based on Particle Swarm Optimization Hybrid Ant Colony Optimization Algorithm

Published: 05 May 2023 Publication History

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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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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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

  1. CTO
  2. Electronic Products
  3. PSO-ACO
  4. Recommendation Model

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Overall Acceptance Rate 143 of 708 submissions, 20%

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