Application of sample balance-based multi-perspective feature ensemble learning for prediction of user purchasing behavi
- PDF / 3,490,025 Bytes
- 26 Pages / 595.276 x 793.701 pts Page_size
- 79 Downloads / 148 Views
RESEARCH
Open Access
Application of sample balance-based multiperspective feature ensemble learning for prediction of user purchasing behaviors on mobile wireless network platforms Huibing Zhang*
and Junchao Dong
* Correspondence: zhanghuibing@ guet.edu.cn Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China
Abstract With the rapid development of wireless communication network, M-Commerce has achieved great success. Users leave a lot of historical behavior data when shopping on the M-Commerce platform. Using these data to predict future purchasing behaviors of the users will be of great significance for improving user experience and realizing mutual benefit and win-win result between merchant and user. Therefore, a sample balance-based multi-perspective feature ensemble learning was proposed in this study as the solution to predicting user purchasing behaviors, so as to acquire user’s historical purchasing behavioral data with sample balance. Influence feature of user purchasing behaviors was extracted from three perspectives—user, commodity and interaction, in order to further enrich the feature dimensions. Meanwhile, feature selection was carried out using XGBSFS algorithm. Large-scale real datasets were experimented on Alibaba M-Commerce platform. The experimental results show that the proposed method has achieved better prediction effect in various evaluation indexes such as precision and recall rate. Keywords: Wireless communication network, M-Commerce, Ensemble learning, XGBoost-logistics, LightGBM-L2, Cascaded deep forest
1 Introduction As a new mode of E-Commerce, M-Commerce makes use of the advantages of mobile wireless network and is a beneficial supplement to traditional E-Commerce. MCommerce is the E-Commerce that uses smart phones, tablets, and other wireless terminals for business activities. The perfect combination of the Internet, short distance communication, mobile communication, and other information processing technology, so that people can do all kinds of commercial activities without time and space restrictions [1, 2]. In recent years, with the in-depth promotion of M-Commerce, online shopping has gradually become a mainstream consumption mode by virtue of various types, low price, and convenient price comparison. At the same time, information overload problem occurs to M-Commerce platforms frequently due to sharp increase © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons lic
Data Loading...
