Toward Improving the Prediction Accuracy of Product Recommendation System Using Extreme Gradient Boosting and Encoding Approaches

Toward Improving the Prediction Accuracy of Product Recommendation System Using Extreme Gradient Boosting and Encoding Approaches

With the spread of COVID-19, the “untact” culture in South Korea is expanding and customers are increasingly seeking for online services. A recommendation system serves as a decision-making indicator that helps users by suggesting items to be purchased in the future by exploring the symmetry between...

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Bibliographic Details
Main Authors: Zeinab Shahbazi, Debapriya Hazra, Sejoon Park, Yung Cheol Byun
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Symmetry
Subjects:
recommendation system
collaborative filtering
symmetric purchasing order
predictive analysis
data mining
XGBoost
Online Access:https://www.mdpi.com/2073-8994/12/9/1566

Internet

https://www.mdpi.com/2073-8994/12/9/1566

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