Personalized Clustering Method of Cross-Border e-Commerce Topics Based on ART Algorithm
Author:
Affiliation:
1. Business School, Xijing University, Xi’an 710123, China
2. China Telecom Xi’an Branch, Xi’an 710003, China
Abstract
Publisher
Hindawi Limited
Subject
General Engineering,General Mathematics
Link
http://downloads.hindawi.com/journals/mpe/2022/8190544.pdf
Reference37 articles.
1. Cross-Border E-Commerce Personalized Recommendation Based on Fuzzy Association Specifications Combined with Complex Preference Model
2. Cross-Border E-Commerce Trade and Industrial Clusters: Evidence from China
3. Research on the Innovation of Cross-border E-commerce Customer Service Model Based on Big Data in the Post-epidemic Era
4. Hybrid recommendation algorithm of cross-border e-commerce items based on artificial intelligence and multiview collaborative fusion;B. Li;Neural Computing and Applications,2021
5. Cross-border E-commerce Course Construction Based on Data Mining Algorithm
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