Hybrid IoT and Data Fusion Model for e-Commerce Big Data Analysis

Abstract

This article is aimed at studying the e-commerce big data recommendation model based on data fusion and the Internet of Things. This article chooses an embedded system for the construction of an e-commerce platform and uses data fusion technology to collect, transmit, and filter useful information from various information sources. Then, the collected information and data are analyzed and integrated, and visualization algorithms are used to better present data analysis, and association rules and structural similarity methods for electronic comparison are uses. This article uses the B/S architecture to design the overall framework of the data access layer, business logic layer, and user presentation layer; collects, organizes, stores, and presents the acquired consumer information; and finally analyzes the e-commerce background, platform performance, and supply and demand analysis. The experimental results show that the average clustering coefficient of the platform (0.7559) is smaller than the average clustering coefficient value of 8 items in the store (0.811) and smaller than the average network diameter and average path length of the online store (3.86, 7.7). Store products are better than store products, and the diameter and length of the product should be larger (2.71, 5.75). The recall rate of the e-commerce big data platform and model matching review method designed in this paper is 5% higher than that of the word matching model method and has a better expected effect in terms of user supply and demand.

Sustainability E-Commerce Di Indonesia: Kebijakan Dan Strategi Untuk Mengurangi Dampak Lingkungan

“…Selain proses pengiriman yang dilakukan dalam proses bisnis e-commerce, emisi GRK juga timbul dari data server yang digunakan dalam ekosistem e-commerce. E-commerce telah menghasilkan data yang sangat besar (Li & Lei, 2022). Dalam website e-commerce terdapat banyak data yang tidak terstruktur meliputi teks, gambar, audio dan video yang tersimpan dalam server pusat data.…”

“…Dalam website e-commerce terdapat banyak data yang tidak terstruktur meliputi teks, gambar, audio dan video yang tersimpan dalam server pusat data. Penting untuk melihat aspek keberlanjutan dalam operasional server pusat data ini (Li & Lei, 2022). Hewlett Packard (2012)…”

“…Banyaknya data yang diproses dan struktur yang berbeda-beda dalam aktivitas ecommerce membutuhkan Big Data sebagai sistem penampung data-data tersebut. Metode perhitungan Big Data tidak dapat dihitung hanya dengan perangkat standalone yang umum digunakan (Li & Lei, 2022). Konsep Big Data yang ada pada platform e-commerce membutuhkan dimensi IoT yang terdiri dari network customer dan client computer kemudian terhubung ke sistem penjualan online sebelum akhirnya server database mengirimkan data ke sistem manajemen persediaan.…”

Research on the Symbiotic Model of Supply Chains Based on the Logistic Expansion Model for E-Commerce Platforms

“…An extremely important part of the platform supply chain requires solving the problem of information asymmetry that exists among internal members and using new technologies to solve the information asymmetry between e-commerce platforms [9,10] and cross-border e-commerce platforms [11,12] to provide the best decision for enterprises. After considering the influence of the external environment on the decision-making of the internal subjects of the system [13], the problem of equilibrium can be solved and equilibrium can be reached within the system by applying digital technology [14,15], deep learning neural networks [16,17] and other technologies to improve the efficiency of the supply chain. On the basis of the ecological perspective, the problem of synergistic cooperation between the platform for cross-border e-commerce and the topics of supply and demand [18] and cross-border logistics companies [19] is resolved.…”