scholarly journals On E-Commerce Precision Marketing Strategy Based on Big Data

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Yushui Xiao ◽  
Feng Ling
Keyword(s):  
Big Data ◽  
Marketing Strategy ◽  
Computer Technology ◽  
Market Competition ◽  
Rapid Development ◽  
Internet Technology ◽  
Purchasing Power ◽  
Current Development ◽  
Online Sales ◽  
Sales Model

Nowadays, Internet technology has been developed to a higher level, and has also gained more and more popularity in people's life and work. Internet technology has penetrated into many fields, providing more convenience for people. Judging from the current development momentum of China's e-commerce industry, fierce market competition and increasingly picky demand of customers, coupled with the gradual formation of online sales model, have all made the existing e-commerce industry face greater challenges, as well as opportunities worth taking advantage of. At present, relying on the rapid development of Internet and computer technology, the concept of "big data" has been popularized. Under the background of big data, every industry has undergone changes and improvement, especially the e-commerce industry, which can more accurately determine the consumers' consumption needs and habits, and can further understand their purchasing power, thus realizing accurate marketing, and strengthening its marketing reliability and pertinence.

scholarly journals Innovative English Classroom Teaching Based on Online Computer Technology in Rural Middle and Primary Schools

2018 ◽  
Vol 13 (10) ◽  
pp. 4
Author(s):  
Yan Gong
Keyword(s):  
Computer Technology ◽  
Primary Schools ◽  
Rapid Development ◽  
Internet Technology ◽  
Classroom Teaching ◽  
Teaching Model ◽  
Distance Teaching ◽  
Positive Role ◽  
Urban Rural ◽  
English Classroom

The rapid development of information technology and Internet technology has played a positive role in enriching classroom teaching forms and improving teaching effectiveness. To study the effects of the innovative English classroom teaching in rural primary and middle schools, this paper adopts the iterature analy-sis method, case study method and observation method, theoretically ana-lyzes urban-rural distance teaching and establishes an urban-rural synchronous distance teaching model based on online computer technology. Then it gives de-tailed de-sign of the urban-rural synchronous distance teaching process based on online computer technology and uses a specific teaching case to investigate and analyze the effects of urban-rural synchronous distance teaching. The results prove that this teaching model can promote the effects of English classroom teaching in rural middle and primary schools, facilitate the urban-rural integrated teaching and en-riches the English classroom teaching froms in rural middle and primary schools.

Research on Database Schema Comparison of Relational Databases and Key-Value Stores

2014 ◽  
Vol 1049-1050 ◽  
pp. 1860-1863
Author(s):  
Peng Zhou ◽  
Mei Li ◽  
Jing Huang ◽  
Hua Fang
Keyword(s):  
Big Data ◽  
Relational Databases ◽  
Efficient Solution ◽  
Rapid Development ◽  
Internet Technology ◽  
Database Schema ◽  
Typical Application ◽  
Existing Problems ◽  
Management Capacity ◽  
High Scalability

With the rapid development of Internet technology, the management capacity of traditional relational databases becomes relatively inefficient when facing the access and processing of big data. As a kind of non-relational databases, the key-value stores, with its high scalability, provide an efficient solution to the problem. This article introduces the concept and features of Key-Value stores, and followed by the comparison with the traditional relational databases, and an example is illustrated to explain its typical application and finally the existing problems of Key-Value stores are summarized.

scholarly journals Strategies for the Application of Computer Software Technology in Big Data

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Zhengxuan Li
Keyword(s):  
Big Data ◽  
Computer Technology ◽  
Rapid Development ◽  
Computer Software ◽  
Development Trend ◽  
Developed Countries ◽  
Current Situation ◽  
Software Technology ◽  
The Development Trend

The rapid development of computer software technology has a significant impact on China. However, compared with developed countries, the development of computer software technology in China is still quite different, and it is necessary to explore and research computer technology continuously. This paper analyzes the current situation of computer software technology and the development trend of big data, explains the related techniques of computing and big data, and how to apply computer technology to big data.

Improving the performance of precision poverty alleviation based on big data mining and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Lejie Wang
Keyword(s):  
Machine Learning ◽  
Economic Growth ◽  
Big Data ◽  
Low Income ◽  
Large Scale ◽  
Rapid Development ◽  
Machine Learning Algorithms ◽  
Internet Technology ◽  
Rapid Economic Growth ◽  
Causes Of Poverty

Since the reform began in our country, with the rapid economic growth in recent years, the income level has grown extremely unequal, and it is difficult for the low-income poor to benefit from the rapid economic growth. The most important prerequisite for the fight against poverty is the accurate identification of the causes of poverty. To date, our country has not reached the level of maturity required to accurately study the causes of poverty in various households. However, with the rapid development of Internet technology and big data technology in recent years, the application of large-scale data technology and data extraction algorithms to poverty reduction can identify truly poor households faster and more accurately. Compared with traditional machine learning algorithms, there are no machine storage and technical constraints, can use a large amount of data and rely on multiple data samples.

scholarly journals Optimization of Brand Marketing Strategy of Intelligent Technology under the Background of Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yishu Liu ◽  
Weixiong Chen
Keyword(s):  
Artificial Intelligence ◽  
Growth Rate ◽  
Marketing Strategy ◽  
Market Competition ◽  
Internet Technology ◽  
Smart Technology ◽  
Product Price ◽  
Technology Products ◽  
Brand Marketing ◽  
Intelligent Technology

With the progress of Internet technology and the rapid development of artificial intelligence, intelligent technology products rapidly grow up. However, influenced by many factors, the marketing status of this kind of products in recent years is not ideal, for example, big data leakage and other issues. Especially in recent years, because of the greater market competition, the marketing of intelligent technology brands is facing greater problems. The purpose of this study is to analyze the current situation of brand marketing of intelligent technology under the background of artificial intelligence and propose the optimization strategy of brand marketing of such products, so as to promote the continuous improvement of brand marketing effect of intelligent technology. Based on artificial intelligence and the concept of brand marketing, through intelligent technology brand marketing investigation and experiment, the intelligent technology brand marketing status and current problems are analyzed; from marketing, product type, and product price, three angle analysis of the factors that influence the marketing and Internet marketing, product quality, product pricing, and product development is put forward from the four angles of specific strategy of optimization of smart technology products’ brand marketing. The experimental results show that the year-on-year growth rate of smart technology brand turnover is decreasing at the present stage. The increase rate of the turnover in 2019 is only 3.24%, far lower than that in 2015, and the growth rate of the turnover decreases by about 33%. At present, there are many problems in the marketing strategy of intelligent technology brands, and the optimization of marketing strategy is an urgent problem to be solved.

scholarly journals RESEARCH ON BEHAVIORAL MOTIVATION INFERENCE METHOD FOR GEOGRAPHICAL SPATIOTEMPORAL LARGE DATA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 725-729
Author(s):  
J. W. Li ◽  
W. D. Chen ◽  
Y. Ma ◽  
N. Yu ◽  
X. Li ◽  
...  
Keyword(s):  
Big Data ◽  
Association Rules ◽  
User Behavior ◽  
Rapid Development ◽  
Frequent Itemsets ◽  
Internet Technology ◽  
Personalized Recommendation ◽  
User Interest ◽  
Geographic Context ◽  
Spatio Temporal

Abstract. Along with the rapid development of Internet technology, GNSS technology and mobile terminals, a large amount of information including geographical location and time attributes has been generated. Faced with large and complex Internet geospatial data, how to quickly and accurately extract valuable reference information becomes an urgent problem to be solved. And the user's demand for personalized information of recommendation information is getting stronger and stronger, and researching efficient and accurate personalized recommendation system has good application value. In this paper, based on the application requirements of personalized recommendation information, the GIS platform and related recommendation algorithms are used to fully exploit the user and location based on geographic space-time big dataIt is divided into user explicit interest and user implicit interest, and then establishes a scientific and efficient user behavior motivation prediction model based on geographic situation. User interest information can be obtained from explicit interest information, implicit interest information and geographic situation interest information. Geographical environment, geographic location and other related context information. By introducing time factors, it is used to update and improve the user real-time interest model to achieve accurate prediction of user behavior motives under geographic spatio-temporal big data. Use Apriori algorithm to calculate the support and determine the current Frequent itemsets of user interest in geographic context, using frequent itemsets to generate strong association rules, and realizing the analysis of user behavior motives based on geography context. For geographic spatio-temporal big data, this paper proposes a personalized hybrid recommendation algorithm, which is based on users. Effective combination of collaborative filtering algorithms and association rules for geographic context-user behavioral interest adaptation.

scholarly journals Application Strategy of Big Data Processing Technology in Intelligent Transportation

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Yaohua Xie ◽  
Xin Zhou
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Processing Technology ◽  
Internet Technology ◽  
Big Data Processing ◽  
Artificial Intelligence Technology

With the rapid development of China’s society and economy, the process of urbanization has been accelerated, and the transportation system has become more complicated, especially the frequent occurrence of traffic accidents, traffic congestions, and environmental pollution. In the context of the rapid development of Internet technology, digital technology, artificial intelligence technology, etc. We apply them to traffic management as effective ways to improve China’s traffic operation management. Based on big data processing technology, this paper discusses its application strategy in intelligent transportation, in hope of serving as a reference.

scholarly journals A Refection on Digitalized Creation of Chinese Internet Big Movies in the Context of Internet

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Liang Lei ◽  
Kunhao Ni ◽  
Ying Cui
Keyword(s):  
Big Data ◽  
Rapid Development ◽  
Internet Technology ◽  
Production Model ◽  
The Internet ◽  
Artistic Creation ◽  
Chinese Film ◽  
Big Data Technologies ◽  
New Type ◽  
New Phenomena

The 21st century is the era of the Internet, where movies see new vitality in artistic creation under the concept of the Internet+. Internet Big movies, a new type of films born with the advancement of Internet technology, have seen rapid development in less than a decade, having gradually established a mature production model. This paper provides reflection and analysis on the new phenomena in Chinese film production that involve numerous applications of big data technologies.

scholarly journals PSYCHOLOGICAL REACTIONS TO THE CONSUMPTION EXPERIENCE OF ONLINE SHOPPERS WITH E-COMMERCE

2020 ◽  
pp. 214-225
Author(s):  
M. Shamsath Begam
Keyword(s):  
Customer Satisfaction ◽  
Business Performance ◽  
Rapid Development ◽  
Business Environment ◽  
Internet Technology ◽  
Psychological Reactions ◽  
Factors Affecting ◽  
Online Sales ◽  
Online Shoppers ◽  
The Impact

Due to the recognition of information technology and internet technology and in-depth applications, e-commerce is proceeding at an exceptional rate. Currently, the relatively rapid development of e-commerce activities is online sales, online promotions and online services. Globalization of e-commerce as a business development has provided many opportunities. To satisfy the e-commerce environment is related to consumer, consumer loyalty, and thus ebusiness performance. Therefore, in order to gain more profits from many companies, it is necessary to carefully investigate the behavior of consumers in the electronic business environment in order to understand the factors affecting the consumption environment as the e-commerce rapidly increases. Therefore, through the basis of network marketing for the composition characteristics of the index system to evaluate customer satisfaction, then countermeasures, and theoretical effective and rational marketing strategies based on customer satisfaction for development, e-commerce improves business performance and improves Let's promote healthy development. At present, the network of scholars at home and abroad on consumer psychology, motivation and behavior has more exposure, but there are not many ways to improve customer satisfaction surveys for e-commerce environments and e-commerce. This article analyses the impact of environmental factors on customer satisfaction in e-commerce networks.

scholarly journals Smart City Rail Automatic Fare Collection System Under the Background of Big Data

2022 ◽  
Vol 2146 (1) ◽  
pp. 012013
Author(s):  
Shurun Xie
Keyword(s):  
Big Data ◽  
Smart City ◽  
System Development ◽  
Rapid Development ◽  
Response Speed ◽  
Fast Response ◽  
Internet Technology ◽  
Collection System ◽  
Human Material ◽  
Low Efficiency

Abstract With the rapid development of Internet technology, the process of urban construction is accelerating and the level of urbanization is further improved. In the smart city rail automatic fare collection system, there are a large number of data information and data that need to be processed manually. The traditional manual method not only consumes human, material and financial resources, but also has low efficiency. Therefore, this paper proposes a smart city rail automatic fare collection system based on big data design. Firstly, this paper expounds the concept of smart city rail transit and studies the function of automatic fare collection system. Then it studies the definition and characteristics of big data, designs the method of system development, and tests the performance of the system. The test results show that the system runs smoothly, accounts for a relatively small amount of memory, has a fast response speed and low delay. Most passengers are satisfied with the system.

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