Personalized Clustering Method of Cross-Border e-Commerce Topics Based on ART Algorithm

Abstract

Within the context of the Internet’s rapid development, the rise of cross-border e-commerce has undoubtedly created a once-in-a-generation opportunity for Chinese-made brands to expand internationally. Cross-border e-commerce is reshaping the way foreign trade is conducted. This paper begins by examining the development status of the cross-border e-commerce industry in Shaoxing, then investigates, and analyzes the factors influencing the development of cross-border e-commerce. Finally, it makes supporting policy recommendations. Additionally, this paper analyzes the logistics links in cross-border e-commerce and discusses its hot topics using the ART algorithm and personalized clustering method.

A Systematic Literature Review of Factors to Improve Tanzania's Cross-Border E-Commerce Performance: Lessons from China

“…Likewise, in 2013 China launched what is known as a "Belt and Road Initiative" the project aimed at connecting China with the world through its two components; "Silk Road Economic Belt" which is involved with the construction of railways, roads and other land-based infrastructures and "21 st Century Maritime Silk Road" which deals with the development and improvements of ports and other marine based infrastructures. Furthermore, China has invested in emerging technologies such as 5G, Blockchain and Artificial Intelligence which positively supports CBE activities (Bao et al, 2020;Guan, 2021;Guan, Zhou, Zhang, Guo and Xie, 2021;Liang, Gu et al, 2021;Jiuru, 2018;Liu and Zhou, 2022;Sun and Watanabe, 2018;Wenying, 2019;Li, 2020;Zhao, 2020;Li et al,2021;Wang et al, 2022;Yang, 2021;Zeng and Wang, 2021;Zhao, He, and Wutao, 2022 ). Previous studies have supported the importance of effective and efficient logistics and trade infrastructures on trade performance (Giuffrida, 2017;Song and Lee, 2022).…”

Functional Framework for Multivariant E-Commerce User Interfaces

“…Previous efforts were often linked to the service-oriented architecture (SOA) paradigm [14]. Today, various approaches are commonly used for personalization in adaptive web shop interfaces, including AI-based methods such as collaborative filtering (CF) [15], CF based on deep learning [16], and its modification that uses the relationships between items rather than users (item-based CF-IBCF) as the basis for inference [17], case-based reasoning (CBR) [18], the RFMT (recency, frequency, monetary, time) model [19], data mining [20], and clustering [21]. UI personalization is applicable across diverse IT systems, whether within organizations (e.g., enterprise resource planning-ERP [22]), supporting interorganizational collaboration (e.g., workflow [23]), or dedicated to customers (e.g., e-commerce [24]).…”