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.

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.

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.

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.

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.

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.

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.

抖音中青年“博主化”现象的产生逻辑与治理选择

抖音中青年“博主化”成为一种新兴网络亚文化现象,是指青年在抖音等社交平台“晒”出自我并渴望成为博主的趋向,他们是多元生活的分享者、纷繁信息的发布者、网红经济的尝试者与改变现状的创新者。在产生逻辑方面,数字化社会转型加剧、抖音平台的传播特征、当代青年的价值选择特点,以及大众对多元文化的需要共同产生影响。但青年“博主化”现象容易向内滋生不良价值取向,向外产生网络暴力等问题。因此,要辩证地看待青年“博主化”现象,在推动抖音平台的思想阵地建设,优化抖音的流量投送渠道,帮助“博主化”青年树立正确的奋斗观,为自身打造独特的文化品牌等方面持续发力;规避青年“博主化”现象的潜在负面影响,为有针对性地做好新时代的青年工作保驾护航。

“抖音注我”开新局:平台技术环境下的非遗传播传承路径与政策创新

[目的/意义]目前,我国进入各级非遗代表性项目名录的非遗已达10万项,它们代表了中华民族最深刻的族群历史记忆。为应对社会大转型对非遗保护传承的全方位冲击,将抖音等平台技术纳入到政策范围,可以产生重大的政策效益与管理效益。[研究设计/方法]借助文献研究、政策文本分析、数据分析、案例研究等方法,深入探究当前非遗保护传承中的理论与实践困境,以及抖音对非遗传播传承产生的积极影响。[结论/发现]提出要超越非遗静态保护和文化生态区保护的范畴,将抖音等技术平台化非遗传播传承项目,纳入到政府向社会力量购买公共文化服务和国家艺术基金资助的政策范围,设计政府资助与市场商业模式双轨并进的政策路径,以形成政府原生态基因保护传承与市场化非遗形态传播传承两线并行的总体政策思路。同时,也要关注抖音等数字技术导致的非遗保护传承中的“市场失灵”问题,并实现政策的平衡。[创新/价值]为我国重构非遗的再生产方式、重塑非遗传播传承链条,突破非遗传承在社会日常生活中日益边缘化的困境,提供了有益参考。

抖音直播带货存在问题及对策研究

随着各大直播平台的陆续兴起、5G的快速发展,直播+电商的营销手段越来越火爆,在疫情大背景下发展起来的“居家经济”,直播带货更是成为各大品牌商创收的重要途径。在直播电商飞速发展的大环境下,抖音平台的直播带货问题应当引起重视,在肯定抖音直播带货快速成长的同时,也需要警惕其中的隐患危机。论文回顾了直播带货发展模式的相关概念及理论基础,在此基础上对其产生的原因进行探究,提出抖音直播带货存在问题的对策和建议。如扩大法律监督范围、多方位了解消费者需求、建立完善选品和售后机制、做好直播运营数据分析、提升职业主播影响力等改进措施。

我国对外传播力提升的挑战与对策:以TikTok平台出海为例

随着平台化社会的来临,互联网平台已成为国际传播能力建设的一股重要力量。TikTok在海外形成了规模庞大的用户群,有较高美誉度,并成为海外新闻媒体实现平台化发展的基础设施。本文立足于国际传播的视角,考察了TikTok在海外数字平台市场的发展状况,对其目前发展所面临的挑战做了分析,认为TikTok对于推进多元主体协同共建的世界平台秩序、深化平台的全球“善治”、打造良性发展的国际舆论生态以及构建我国国际传播体系具有重要意义。

基于抖音平台泛娱乐直播的标准化探索

本文基于抖音平台,从抖音平台泛娱乐直播的概述、发展现状进行探讨,通过对抖音平台泛娱乐直播标准化的探索研究,以期可以更好地理解和把握泛娱乐直播的趋势,为泛娱乐直播行业的发展提供一定的参考和借鉴,促进其健康、有序的发展,共建精神文明家园。

互动仪式链视角下大型体育赛事的短视频传播研究——以抖音平台北京2022年冬奥会为例

新媒体时代,传统的体育赛事传播方式发生了巨大转变,越发以即时性、互动性为特点,并赋予了用户发言评论的权利,使其成为实时体育传播的参与者。其中,短视频逐步成为获取体育内容、传播赛事信息的关键媒介,吸引着越来越多的用户参与到体育赛事短视频传播中来,使得以创造者和用户为核心传播的生态圈正在形成。该文运用文献研读、案例分析等研究方法,以互动仪式链理论为研究视角,并以抖音平台中北京2022年冬奥会期间不同类型账号发布主体为例,对大型体育赛事短视频的传播现状、传播特征、传播困境等进行了深入阐释与分析,进而从内容生产、传播渠道、互动反馈3个方面,就北京冬奥会短视频中互动仪式链的实践与构建进行了分析与讨论,提出未来大型体育赛事的短视频传播必须在提高内容质量、增加用户黏性、拓宽传播渠道等方面下足功夫的建议。

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.

Comparative Analysis of the Effects of False Low-Price Marketing Strategy on Multiple Platforms

In order to make full use of the characteristics of commodity prices,merchants on e-commerce platforms have adopted the low-price marketing strategy.Regular promotional discounts can bring new vitality to the commodity sales market,but extreme discount marketing methods would lead to serious impacts on the sales of competing products,thus affecting the stable development of the online shopping market.The sales data of four electrical products using the false low-price marketing strategy on three e-commerce platforms(Taobao,JD,and Amazon)were used in this study.The sales data from different e-commerce platforms and different time periods were analyzed,and one-way ANOVA was used on the factors affecting the effect of marketing strategy.The results showed that there is a significant difference between the direct marketing of high-priced products and low-priced products on Taobao;the difference between the marketing effects of high-priced products and mid-priced products on JD and Amazon is significant.This analysis would help businesses formulate reasonable marketing strategies and promote the stable development of the online shopping market.

抖音电商平台助农产品在线评论主题挖掘及扩展分析

基于潜在狄利克雷分配(latent Dirichlet allocation,LDA)模型,引入高频词分析、共现网络分析、情感分析等方法,对抖音电商平台上助农产品在线评论的主题进行挖掘和扩展分析表明,消费者对助农产品的关注点主要包括产品质量和价格、商家服务和物流服务、消费者感知价值、助农活动和县长支持等。通过共现网络分析和情感分析均发现消费者对抖音平台助农产品总体是满意的,但仍有改善空间。建议抖音电商平台通过挖掘消费者需求、保证助农产品性价比、把握“电商助农”宣传方向、加强主播培训等方式来提升消费者的购物体验和满意度。

省级公共图书馆抖音短视频高质量运营策略研究

短视频作为一种新型的社交媒体深受大众喜爱,有利于图书馆增加宣传推广渠道、创新服务方式。抖音平台经过多年的发展已经成为短视频行业的领先者,平台上的数据具有较高的研究意义。采用网络调查法和内容分析法对短视频内容、表现力、节奏和用户互动效果进行分析,发现公共图书馆抖音短视频运营不平衡,作品质量参差不齐,且优质内容、情绪丰富、互动性好的原创类短视频比较受欢迎。提出以内容为核心、以兴趣为导向、以互动为桥梁、以管理为手段4个方面的策略来提高图书馆短视频运营能力,促进公共图书馆短视频运营方面实现高质量发展。