Research on Product Demand Forecasting and Personalized Recommendation Based on Data Analysis

Authors

  • Yifu Yuan

DOI:

https://doi.org/10.62051/ijcsit.v3n1.24

Keywords:

Data analysis, Product demand forecasting, Personalized recommendation, User behavior analysis, Machine learning

Abstract

This paper aims to explore the design and implementation of product demand forecasting and personalized recommendation system based on data analysis. Through the collection and analysis of a large number of user behavior data, an accurate demand prediction model is constructed, and based on this, a personalized recommendation algorithm is implemented. The paper first introduces the research background and purpose, and then elaborates the research method, process and results. The method based on data analysis can effectively predict the product demand and provide users with personalized recommendation services, so as to improve user satisfaction and market competitiveness of enterprises.

References

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Published

15-06-2024

Issue

Section

Articles

How to Cite

Yuan, Y. (2024). Research on Product Demand Forecasting and Personalized Recommendation Based on Data Analysis. International Journal of Computer Science and Information Technology, 3(1), 188-196. https://doi.org/10.62051/ijcsit.v3n1.24

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