Big Data Analysis of Personalized Recommendation in E-Commerce
Xi-Jun Lin · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2022
The personalized recommendation analysis for users' behaviors in e-commerce platform by big data analysis.Study on what kind of factors will affect on personal recommendations for goods on Amazon more effective by using Principal Component Analysis (PCA), Association Analysis and SVM (Super Vector Machine) Model.Using RFM Model to increase platform sales by analysis those data.This model aims to improve the accuracy and effectiveness of personalized recommendation, therefore improving the sales of goods on platform and the satisfaction of users.