The Frontiers of Society, Science and Technology, 2024, 6(5); doi: 10.25236/FSST.2024.060504.
Siyu Wang, Chuansheng Wu
University of Science and Technology Liaoning, Anshan, China
This paper studies the personalized recommendation system of e-commerce based on big data, focusing on its key technologies and application scenarios in data collection, user portrait construction and recommendation algorithm optimization. By analyzing the role of big data in recommendation system, combined with the core technologies such as collaborative filtering and content filtering, this paper expounds how to provide consumers with more accurate and personalized product recommendation. In addition, the article also discusses the effects and advantages of the system in practical applications such as commodity recommendation and advertisement push through case analysis, and looks forward to the future development trends and challenges.
big data; E-commerce; Personalized recommendation system; User portrait; Optimization of recommendation algorithm; Application scenario
Siyu Wang, Chuansheng Wu. Research on Personalized Recommendation System of E-Commerce Based on Big Data. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 5: 27-33. https://doi.org/10.25236/FSST.2024.060504.
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