The Design of Cross-border E-commerce Recommendation System Based on Big Data Technology

2021 ◽  
Author(s):  
Jin Chen ◽  
Chunqiong WU
Keyword(s):  
Big Data ◽  
Recommendation System ◽  
Cross Border ◽  
Big Data Technology

scholarly journals Interactive Marketing E-Commerce Recommendation System Driven by Big Data Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yi Fu ◽  
Min Yang ◽  
Di Han
Keyword(s):  
Big Data ◽  
Recommendation System ◽  
Reference Model ◽  
Relevant Literature ◽  
Force Model ◽  
Interactive Marketing ◽  
Marketing Innovation ◽  
Interactive Relationship ◽  
The Media ◽  
Big Data Technology

This study combs through relevant literature, adopts a combination of typical sampling and random sampling, collects three big data technology-driven interactive marketing e-commerce companies in a specific period of Sina Weibo sample data for research, obtains historical information and data, and constructs a model. Through relevant analysis to eliminate invalid variables, we creatively selected three variables of Internet hot words, activities, and microtopics as independent variables and used marketing effects as dependent variables to carry out empirical analysis and study the marketing innovation of three representative companies based on big data technology. We discussed the use of self-media in interactive marketing e-commerce and the situation of marketing innovation based on self-media, focusing on the interactive relationship between marketing innovation and Internet word-of-mouth (brand image). Through research, we have derived the three-force model, which is the biggest result of this research, and provided a reference model for interactive marketing e-commerce companies to carry out follow-up marketing innovation based on the media. Limited to the level of research and ability, there are some deficiencies in the research, such as barrage marketing, big data marketing, and emotional computing, that have not been analyzed in depth. This article fully considers the dependence of small and medium e-commerce companies on e-commerce platforms in the era of big data and conducted detailed market research on their precision marketing strategies in the era of big data. This will be a new field that does not come from media marketing. This article intends to summarize a series of experiences and laws from special to general, from individuality to generality, so as to give full play to the role of personalized marketing in increasing website traffic and order conversion, in order to personalize the use of data by other e-commerce companies with marketing provides some valuable experiences and methods for reference.

scholarly journals Intelligent Tourism Personalized Recommendation Based on Multi-Fusion of Clustering Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
HongYan Liang
Keyword(s):  
Big Data ◽  
Recommendation System ◽  
Contextual Information ◽  
Clustering Algorithms ◽  
Personalized Recommendation ◽  
Information Usage ◽  
Practical Effect ◽  
Tourism Information ◽  
Travel Recommendation ◽  
Big Data Technology

Actual tourism mining models are often used to discover potential information in documents, but tourism models without human knowledge often produce unexplainable topics. This paper combines big data technology to build a personalized recommendation system for smart tourism, model the contextual information usage ontology under the tourism information system, and give the association between various ontologies. Then, this paper uses a matrix to describe each discrete attribute and interval attribute and uses a vector to model the user’s preferences. In addition, this paper constructs an intelligent recommendation system based on the actual needs of travel recommendation and verifies the system in combination with experimental research. Through experimental analysis, it can be known that the intelligent tourism personalized recommendation system based on big data technology proposed in this paper has a high practical effect.

scholarly journals Research on the Innovation of Supply Chain Management Mode of Cross-Border B2B Foreign Trade Export Enterprises in the Context of Big Data

2021 ◽  
pp. 203-219
Author(s):  
ChuJia Liu, Dr. Nolan Guillao
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Foreign Trade ◽  
Development Strategy ◽  
Market Competition ◽  
Management Mode ◽  
Chain Management ◽  
Cross Border ◽  
Big Data Technology

With the continuous advancement of global economic integration, the influence of big data on cross-border B2B foreign trade export companies is increasing. Every cross-border B2B foreign trade export company needs to deal with increasingly fierce market competition, and cross-border B2B foreign trade export companies want to gain a competitive advantage, which it is necessary to actively introduce big data technology to innovate the management model of cross-border B2B foreign trade export enterprises. The managers of cross-border B2B foreign trade export enterprises must innovate decision-making concepts in a timely manner, collect and analyze big data, and make them a foreign trade enterprise. Meanwhile we need to pay attention to the introduction of high-quality professional data talents. This article first puts forward the concept and main characteristics of big data, which clarifies the various problems faced by foreign trade export enterprises since entering the era of big data. With the help of supply chain management mode, we need to innovates the management mode of cross-border B2B foreign trade export enterprises and actively applies big data technology and supply Chain management which promotes the healthy development strategy of foreign trade export enterprises and improves the core competitiveness of foreign trade export enterprises.

scholarly journals Application of Big Data Analysis Technology in Cross-Border E-Commerce

2021 ◽  
Vol 5 (4) ◽  
pp. 1-3
Author(s):  
Yanan Song
Keyword(s):  
Big Data ◽  
Development Strategy ◽  
National Development ◽  
Service Evaluation ◽  
New Era ◽  
Healthy Development ◽  
Industry Chain ◽  
Cross Border ◽  
Internet Platform ◽  
Big Data Technology

Under the background of national development strategy in the new era, cross-border e-commerce with the help of Internet platform can realize the interconnection between producers and consumers, and gradually expand the influence of international trade. Based on big data technology, this paper builds an industry chain with cross-border e-commerce members' participation, and analyzes the specific application of big data in the product support, internal operation, external marketing, logistics service and service evaluation of cross-border e-commerce industry chain. The purpose is to effectively promote the healthy development of cross-border e-commerce and improve China's trade and economic level.

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