A novel consumer purchase behavior recognition method using ensemble learning algorithm

P Wang, Z Xu - Mathematical Problems in Engineering, 2020 - Wiley Online Library
With the prosperous development of e‐commerce platforms, consumer returns often occur.
The issue of returns has become a stumbling block to the profitability of e‐commerce …

A user purchase behavior prediction method based on xgboost

W Wang, W Xiong, J Wang, L Tao, S Li, Y Yi, X Zou… - Electronics, 2023 - mdpi.com
With the increasing use of electronic commerce, online purchasing users have been rapidly
rising. Predicting user behavior has therefore become a vital issue based on the collected …

Customer purchasing behavior prediction using machine learning classification techniques

G Chaubey, PR Gavhane, D Bisen… - Journal of Ambient …, 2023 - Springer
Many sales and service-providing companies need to talk up related customers while
launching the new products, services, and updated versions of existing products. While …

[PDF][PDF] Sales prediction and product recommendation model through user behavior analytics.

X Zhao, P Keikhosrokiani - Computers, Materials & Continua, 2022 - academia.edu
The COVID-19 has brought us unprecedented difficulties and thousands of companies have
closed down. The general public has responded to call of the government to stay at home …

A gradient boosting classifier for purchase intention prediction of online shoppers

IA Khandokar, AKMM Islam, S Islam, S Shatabda - Heliyon, 2023 - cell.com
Early purchase prediction plays a vital role for an e-commerce website. It enables e-
shoppers to enlist consumers for product suggestions, offer discount and for many other …

A hybrid approach for predicting customers' individual purchase behavior

S Peker, A Kocyigit, PE Eren - Kybernetes, 2017 - emerald.com
Purpose Predicting customers' purchase behaviors is a challenging task. The literature has
introduced the individual-level and the segment-based predictive modeling approaches for …

A Precision Marketing Strategy of e‐Commerce Platform Based on Consumer Behavior Analysis in the Era of Big Data

D Zhang, M Huang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In order to develop a more efficient and accurate marketing strategy for consumers'
purchase behavior, this paper establishes a user value model by modeling and learning the …

An efficient predictive analysis model of customer purchase behavior using random forest and XGBoost algorithm

S Dhali, M Pati, S Ghosh… - 2020 IEEE 1st …, 2020 - ieeexplore.ieee.org
Predictive Analytics is a bough of the advanced analytics which has been used to make
predictions about unknown future events. It uses many techniques from Data Mining and …

An improved genetic-XGBoost classifier for customer consumption behavior prediction

Y Li, J Qi, H Jin, D Tian, W Mu, J Feng - The Computer Journal, 2024 - academic.oup.com
In an increasingly competitive market, predicting the customer's consumption behavior has a
vital role in customer relationship management. In this study, a new classifier for customer …

An XGBoost algorithm for predicting purchasing behaviour on E-commerce platforms

P Song, Y Liu - Tehnički vjesnik, 2020 - hrcak.srce.hr
Sažetak To improve and enhance the predictive ability of consumer purchasing behaviours
on e-commerce platforms, a new method of predicting purchasing behaviour on e …