Research Article
The Status and Development of E-commerce Platform Recommendation Systems Based on Artificial Intelligence Technology
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334273, author={Weiwei Zhao and Fangyu Xie and Bingyan Liu and Sihan Liu and Yuan Gao}, title={The Status and Development of E-commerce Platform Recommendation Systems Based on Artificial Intelligence Technology}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={e-commerce; recommendation system; artificial intelligence}, doi={10.4108/eai.19-5-2023.2334273} }- Weiwei Zhao
Fangyu Xie
Bingyan Liu
Sihan Liu
Yuan Gao
Year: 2023
The Status and Development of E-commerce Platform Recommendation Systems Based on Artificial Intelligence Technology
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334273
Abstract
This paper focuses on discussing the recommendation system of e-commerce platforms that use artificial intelligence technology. It summarizes the topic by exploring various aspects such as application, technical principles, performance evaluation indicators, application cases, development trends, challenges, and future research directions. It introduces recommended systems that utilize collaborative filtering and content-based filtering technologies. The technical principles behind these systems include user interest modeling and product feature extraction. And, it introduces performance evaluation indicators such as accuracy and coverage. It also discusses the application and effects of recommended systems in well-known e-commerce platforms both domestically and internationally. Additionally, the paper analyzes the challenges of data sparsity and cold start problems in e-commerce platform recommendation systems and provides relevant solutions. Finally, the paper proposes future research plans in this field.
