Academic Journal

Machine Learning Modeling for Forecasting Repeat Purchases in Online Shopping

التفاصيل البيبلوغرافية
العنوان: Machine Learning Modeling for Forecasting Repeat Purchases in Online Shopping
المؤلفون: Duan, Lianzhai
المصدر: MALCOM: Indonesian Journal of Machine Learning and Computer Science; Vol. 4 No. 3 (2024): MALCOM July 2024; 863-874 ; 2775-8575 ; 2797-2313 ; 10.57152/malcom.v4i3
بيانات النشر: Institut Riset dan Publikasi Indonesia
سنة النشر: 2024
مصطلحات موضوعية: Data Analysis, Data Modeling, Machine Learning, Online Shopping, Repeat Purchase Forecast
الوصف: Online shopping merchants will conduct a series of marketing activities to increase customers, but in many cases, most of the new customers will not make repeat purchases, which is not conducive to the long-term interests of the merchants. Therefore, it is important for merchants to target users who are more likely to repurchase, as this can reduce marketing costs and increase ROI. Based on the dataset provided by the online shopping website, this paper conducts mining and exploratory analysis of the data, utilizes feature engineering methodology, and modeling analysis using LightGBM, Logistic, Xgboost for machine learning modeling. Meanwhile, parameter optimization and model evaluation verification are performed, Finally, the comparative analysis resulted in LightGBM as the best prediction model, will provide efficient marketing decisions for the operation of online shopping stores.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://journal.irpi.or.id/index.php/malcom/article/view/1388/643; https://journal.irpi.or.id/index.php/malcom/article/view/1388
DOI: 10.57152/malcom.v4i3.1388
الاتاحة: https://journal.irpi.or.id/index.php/malcom/article/view/1388
https://doi.org/10.57152/malcom.v4i3.1388
Rights: Copyright (c) 2024 MALCOM: Indonesian Journal of Machine Learning and Computer Science
رقم الانضمام: edsbas.C6734C5
قاعدة البيانات: BASE
الوصف
DOI:10.57152/malcom.v4i3.1388