The Progress of Shopping Recommendation System Based on Machine Learning Algorithms

Xiyue Xiong

2024

Abstract

The shopping recommendation systems play a crucial role in enhancing the online shopping experience by providing personalized suggestions to users, thereby significantly increasing customer satisfaction and loyalty. This paper discusses the application of machine learning in the context of the commercial shopping field, especially for the shopping recommendation system. The algorithms discussed include random forest, collaborative filtering, deep learning models, deep convolutional networks and other algorithms to elaborate on its application, describing the important role played by machine learning technology in the commercial field. It describes the important role that machine learning technology plays in the commercial field, and makes an outlook assessment of the future development of this technology. Data science and related computer technologies are used frequently and with great importance in the production of recommendation systems when shopping. Different countries are also looking at this as a hot technology and are actively exploring and developing algorithms for it.

Paper Citation

in Harvard Style

Xiong X. (2024). The Progress of Shopping Recommendation System Based on Machine Learning Algorithms. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 110-114. DOI: 10.5220/0012910800004508

in Bibtex Style

@conference{emiti24,
author={Xiyue Xiong},
title={The Progress of Shopping Recommendation System Based on Machine Learning Algorithms},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={110-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012910800004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - The Progress of Shopping Recommendation System Based on Machine Learning Algorithms
SN - 978-989-758-713-9
AU - Xiong X.
PY - 2024
SP - 110
EP - 114
DO - 10.5220/0012910800004508
PB - SciTePress