Predicting Purchasing Behavior on E-Commerce Platforms: A Regression Model Approach for Understanding User Features that Lead to Purchasing

This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. Evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.

Optimization and Innovation of the Operation Model of Mobile Social E-commerce under AI Empowerment:Taking the Female Community Platform“Little Red Book”as an Example

This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Firstly,the relevant concepts were defined,and then the unique attributes of mobile community e-commerce were analyzed.As a typical representative of mobile community e-commerce,Little Red Book introduces the background and characteristics of its platform,analyzes its mobile community operation mode,and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology,to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.

Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning

With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions.The first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash equilibrium.Then,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.By comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is solved.Finally,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.

A Novel Named Entity Recognition Scheme for Steel E-Commerce Platforms Using a Lite BERT

In the era of big data,E-commerce plays an increasingly important role,and steel E-commerce certainly occupies a positive position.However,it is very difficult to choose satisfactory steel raw materials from diverse steel commodities online on steel E-commerce platforms in the purchase of staffs.In order to improve the efficiency of purchasers searching for commodities on the steel E-commerce platforms,we propose a novel deep learning-based loss function for named entity recognition(NER).Considering the impacts of small sample and imbalanced data,in our NER scheme,the focal loss,the label smoothing,and the cross entropy are incorporated into a lite bidirectional encoder representations from transformers(BERT)model to avoid the over-fitting.Moreover,through the analysis of different classic annotation techniques used to tag data,an ideal one is chosen for the training model in our proposed scheme.Experiments are conducted on Chinese steel E-commerce datasets.The experimental results show that the training time of a lite BERT(ALBERT)-based method is much shorter than that of BERT-based models,while achieving the similar computational performance in terms of metrics precision,recall,and F1 with BERT-based models.Meanwhile,our proposed approach performs much better than that of combining Word2Vec,bidirectional long short-term memory(Bi-LSTM),and conditional random field(CRF)models,in consideration of training time and F1.

The Monopoly and Governance of the Platform Economy in the Digital Era

The platform economy has become a new engine and leading force for China's economic development.With the rapid development of super internet platforms, this field has drawn growing attention from attention of anti-monopoly authorities.The technical attributes and business characteristics of the platform economy endow those platforms with a "natural" monopoly advantage, and the quasi-public attributes of the internet platforms require anti-monopoly authorities to bear more monopoly governance responsibilities.This paper analyzes the difficulties in monopoly governance of the platform economy from the perspectives of anti-monopoly legislation, government regulation and global monopoly governance, and proposes several solutions and suggestions to improve the effectiveness of anti-monopoly governance and promote healthy development of the digital economic ecology.The solutions and suggestions include: focusing on building up technology-based regulatory capabilities, accelerating the legislation on data protection of data, and developing an anti-monopoly system based on the principle of giving priority to innovation.

Effects of E-Commerce Platforms on Firm Export——Evidence from China’s Industrial Enterprises

With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, this paper investigates the firm export effects of e-commerce platforms, and empirically tests the inferences from the model using data from Alibaba China Station, China industrial enterprises data, and China customs data from 2000 to 2009. Our estimation result shows that overall, e-commerce platforms significantly increase firm export probability and volume;e-commerce platforms enable firms to export products of different types to more countries by reducing the cost of information and export markets threshold while raising trade efficiency. Further analysis of enterprise heterogeneity reveals that SMEs, firms in China's eastern region, and general exporters benefit more from e-commerce platforms than other types of firms do.

Application of the E-commerce Platform in the International Trade

E-commerce is a new consumption mode, which develops rapidly and is welcomed by consumers. It also plays an important role in promoting the international trade. Through this analysis, we can understand that the influence of the e-commerce on the international market has both positive and negative aspects. We need to be aware of our shortcomings, understand the gap between them and the developed countries, and formulate the relevant policies. Let China's e-commerce continue to improve and innovate in the international trade, and find a suitable strategy for its own development. Relevant Chinese departments should actively and effectively participate in the construction of e-commerce. On the one hand, they can stabilize the status of e-commerce in the international trade, and on the other hand, they can expand the consumer groups and make the electronic goods better.

Assumption of E-commerce Platform of Agricultural Products Based on F2C2B Mode

This paper proposes the assumption of E-commerce platform of the agricultural products based on the F2C2B mode. The whole e-commerce model is guided by the idea of the supply chain management from the perspective of the modern system, and the e-commerce integration model from customer to supplier is implemented, and the whole is optimized. E-commerce to cloud computing as the basic environment, the construction of public cloud services and private cloud resources, based on public cloud to the SaaS way to provide services to customers, focus on business search and business collaboration, make full use of the lnternet, modern communications technology to provide the real- service. The development of agricultural economy, no longer depends only on the number of some traditional agricultural resources, but also depends on the modern technology, information access and use. Through the development of basic network technology, by virtue of some modern electronic information technology and some other means that can improve the intelligence of agricultural use of the information resources, the proposed model provides the new methodology of the solution.

New Global Governance Platform

Since it was put forward three years ago by Chinese President Xi Jinping,the Belt and Road Initiative has become an important platform for countries along the routes to share development opportunities.According to Wang Yiwei,Professor of international relations at Renmin University of China,the initiative will act as a good supplement and improve- ment to the existing mechanism of international governance, while injecting new vitality into the world＇s economic recovery and long-term development. His ideas follow：

Research on the Development Model ofE - commerce Finance： A Case Study of the Cross-border Cooperation in Finance between banks and E-commerce companies

This purpose of this article is to provide an overview of the research situation and the development model of the E-commerce finance. This article takes the cross-border cooperation in finance between banks and E-commerce companies. This paper introduces three development models of E-commerce finance. Banks set up their own E-commerce platform. The banks take advantage of E-commerce platform. The E-commerce companies run financial business. The theoretical findings reported in this paper pave the way for embarking on the promising and relevant future research.

Leveling the Playing Field China’s first e-commerce law takes effect in an effort to regulate the industry

Gao Difan,27,was overjoyed with the Givenchy lipstick she bought herself as a Christmas gift via a daigou.on Taobao,one of the most famous e-commerce platforms in China.A daigou is the name given to an intermediary who travels or lives abroad and buys products on behalf of people in China.

Digital Marketing and B2B Cross-Border E-Commerce: A Case Study of Alibaba International Station in China

The rapid development of the“Internet+”has ushered in a new era of global digital technology innovation.Concurrent with the deepening trends of economic globalization and integration,international trade is progressively undergoing extensive digitization,with cross-border e-commerce emerging as a significant manifestation of this transformation.Within this landscape,the cross-border e-commerce B2B platform is anticipated to become a pivotal driver for China’s cross-border trade growth,representing a strategic opportunity for trade transformation.This paper provides a comprehensive examination of the concepts,characteristics,and development status of cross-border e-commerce and B2B platforms,considering both global and Chinese perspectives.Focusing on a prominent case study,Alibaba International Station,a B2B cross-border e-commerce platform,the paper delves into its business model and core competencies,offering a thorough analysis of its role in the intricacies of international e-commerce and its contribution to the field.Drawing on insights gained,the paper concludes by presenting targeted recommendations from both the platform and government perspectives.These suggestions are informed by a nuanced understanding of the development opportunities and challenges facing China’s cross-border e-commerce B2B platforms.

智慧医疗情境下四方主体隐私行为的交互机理及演化趋势研究

[目的/意义]本文针对智慧医疗情境下隐私行为研究在博弈主体、模型参数等方面的不足,探寻患者、医疗机构、智慧医疗平台和政府四方主体之间的隐私行为交互机理与演化趋势。[方法/过程]基于演化博弈理论,构建患者、医疗机构、智慧医疗平台和政府四方博弈模型。根据不同参数调节下各方行为策略的收益、成本、损失等计算收益矩阵,求解主体的演化稳定策略,并考虑不同因素对主体行为策略及系统稳定状态的影响。[结果/结论]患者的隐私披露行为与披露隐私后获得的服务收益密切相关,医疗机构的隐私保护投入成本和隐私泄露概率对其隐私保护行为有显著影响,智慧医疗平台的政府奖惩、罚款收益和投入成本是影响其严格管理行为的关键因素,政府的监管行为与奖惩机制等因素密切相关。通过应用本文模型和方法,可以动态调整隐私保护机制,明确各方职责,推动智慧医疗可持续健康发展。

Evolutionary game analysis of information service quality control of e-commerce platforms under information ecology

Due to the information asymmetry and imperfect supervision system,the problem of information service quality of e-commerce platforms is becoming increasingly prominent.Based on the perspective of information ecology,this paper constructs a three-party evolutionary game model including merchants,e-commerce platforms and governments,and analyzes the dynamic process of the threeparty game under bounded rationality,thereby characterizing the behavior and optimal strategies of information service quality control.We carry out numerical simulation using data of the Pinduoduo platform.The results show that the cost of each party,control strength of e-commerce platforms,proportion of margin deducted and other factors are important factors affecting the quality of information service;Only when the sum of the costs of passive management of e-commerce platforms,penalties for merchants,and the additional revenue generated from the active management exceeds the cost of the active management of the e-commerce platforms,it ensures effective control over the quality of information service in a stable market environment.Finally,some suggestions are put forward to optimize the e-commerce information service quality control.

Price Masking Strategy of Cross-Border E-Commerce Platform Financing

E-commerce platform financing is a new service pattern of supply chain finance.However,this pattern may bring some new issues when considering the problem of cash flow shortage and financing difficulties of small and medium-sized enterprises.When enterprises use this service,they worry about the leakage of preferential wholesale price when applying the full loan amount and providing the true transaction information.Based on the model consisting of a supplier,a retailer and a cross-border e-commerce platform,the authors design a price masking strategy to prevent the retailer’s preferential wholesale price information from leakage.The authors analyze the profit of the retailer and the platform before and after adopting the price masking strategy.The authors find that the price masking strategy always benefits the retailer.Besides,the optimal profit of the retailer and the platform are both affected by the loan interest rate.Moreover,there exists a range of loan interest rates that can benefit both the retailer and the platform if the price masking strategy is adopted.The research emphasizes that platform can expand the total business volume by allowing retailers to use price masking strategy.In other words,there will be more and more retailers attracted by the strategy,which benefits the long-term growth of cross-border e-commerce platform financing.

Governments′ Path Selection of Promoting Rural Information Development——From the Perspective of Social Capital Theory

In introduction of the connoted meaning of rural information and its important role in the development of modern agriculture in our country and the development of urban and rural areas, the paper analyzes the difficulties in information construction: the first is the inadequate attendance of farmers, the low efficiency of information platform use; the second is the backward construction of information sources, which cannot meet the practical needs of information by farmers; the third is the bad situation of information exchanging. From perspective of social capital, it discusses the roles social capital factors playing in the rural information construction, among which, the information relations between farmers and information are the basis; net attendance is the necessary condition of sustainable development of rural information construction; customs afford management resources in rural information construction. Based on the above materials, the paper puts forward that it is the government who must accelerate the construction of rural information: the first is planting technic net in rural credit systems, accelerating the admission and supporting of farmers to information construction; the second is to strengthen the exchanging abilities among information platforms, upgrading the attendance degrees of farmers in rural information construction; the third is to introduce and make use of the management power of rural customs to complete an information management norm.

Study on the Tort Liability of Electronic Commerce Platform

Today,the rapid development of electronic commerce(E-commerce)has added a new driving force for China’s economic development.However,all kinds of legal problems have followed,such as uncontrolled production and sale of fake goods,frequent malicious complaints,endless unfair competition,and illegal infringement,which have harmed the legitimate interests of consumers and seriously damaged the market order and fair competition.In order to provide some theoretical and realistic reference for the development of China’s E-commerce industry,this paper focuses on the relevant problems in the field of“infringement”of E-commerce platforms for in-depth thinking,and puts forward suggestions for solving the existing problems based on the development status of E-commerce platforms.

Study on Tourism Electronic Platform based on Large Data Background

A big scale data poses a great challenge to data storage, management and data analysis. This article analyzes the basic concepts of large data, and mainly used on large data makes the simple contrast. And paper put forward a platform of regional characteristics based on electronic business information publishing system. Finally the paper gives general model and the realization of the platform structure, key technology and process. The platform uses conversion technology of StrutsCX framework based on J2EE platform and the XSLT parsing template of XML document tree that generates and provide automation platform construction features site for the user, it can quickly set up a tourism industry application component with plug-in manner.

平台企业互联互通助推全国统一大市场建设:理论逻辑与实践路径

全国统一大市场的建设,是实现新发展格局的基础支撑。在数字经济时代,平台企业作为数字经济体系下的关键市场主体,有效地引领消费、教育、医疗等活动,实现了全面的数字化转型。平台企业互联互通更是依托于互联网技术,强化了平台双边用户的网络外部性与多归属性,以及平台企业双重身份的价值创造效应,从而有效提高了市场的统一性、开放性、竞争性、有序性,推动了全国统一大市场的建设。然而,互联互通过程中存有的推动互联互通运行的障碍及互联互通后所引发的潜在障碍等制约了统一大市场建设的进程。为此,从提升平台企业互联互通意识、加强互联互通技术研发、加强数据保护措施建设、强化互联互通的反垄断制度建设等方面着手,提出了一系列政策建议,以在规范平台经济发展的同时,促进全国统一大市场建设。