An Optimization Model for Logistics Distribution Network of Cross-Border E-Commerce Based on Personalized Recommendation Algorithm

Zhongqiang Zhang,Chi-Hua Chen

doi:10.1155/2021/5510481

Abstract

In order to solve the problems of poor timeliness and high service cost caused by international logistics of cross-border e-commerce and to realize the localization of cross-border trade and improve consumers' shopping experience, much cross-border e-commerce has introduced overseas warehouse business. Because the optimization model for the logistics distribution network of cross-border e-commerce cannot solve the problem of high operation cost, the optimization model for the logistics distribution network of cross-border e-commerce based on a personalized recommendation algorithm is designed. Through the analysis of the logistics distribution network of cross-border e-commerce structure and the construction of logistics distribution network of cross-border e-commerce model and multiobjective optimization of logistics distribution network of cross-border e-commerce, the construction process of the logistics distribution network optimization model is completed. The simulation results verify the effectiveness of the model. By comparison, this model can effectively solve the problems that the original model cannot solve and reduce the operation cost of the logistics distribution network.

Highlights

With the rapid development of China’s cross-border e-commerce in recent years, a large number of overseas goods are stored in the warehouse of e-commerce and presented in front of users, resulting in “Information overload” and other phenomena
E-commerce logistics and distribution is to meet the customer’s satisfaction, and it is the basic goal of the enterprise to find ways to minimize the transportation cost during the operation. e vehicle routing problem (VRP) [3] is a typical NP hard problem
It has a wide range of applications in computer science, operations research, and engineering optimization. e algorithms of solving VRPs mainly include precise algorithms, traditional heuristic algorithms, simulation algorithms, and artificial intelligence algorithms. e exact algorithm [4] uses the mathematical programming method to obtain the optimal path solution

Summary

Introduction

With the rapid development of China’s cross-border e-commerce in recent years, a large number of overseas goods are stored in the warehouse of e-commerce and presented in front of users, resulting in “Information overload” and other phenomena. Aiming at the multiobjective model of 2D maritime international logistics network of cross-border e-commerce based on logistics cost and customer satisfaction under the overseas warehouse mode, this paper deeply studies the large-scale multiobjective network optimization problem using weight vector adjustment strategy. In order to successfully complete this research, the research plan to be adopted is as follows: to fully study the timeliness, logistics cost, customer satisfaction, and other problems and difficulties of international logistics of cross-border e-commerce in the existing literature and to focus on the analysis of the network optimization problems and countermeasures of cross-border e-commerce logistics under the overseas warehouse mode. In order to obtain the effective analysis results of logistics distribution network of cross-border e-commerce structure, this paper first analyzes the traditional user-based multi-interest collaborative filtering algorithm [14, 15] and proposes an improved user-based multi-interest collaborative filtering algorithm aiming at the

Conclusion and prospect

Construction of Logistics Distribution Network Model of

A2 Z z

Experiment and Analysis

Conclusion