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1.
互联网的快速发展带来了电子商务的应用和普及。垂直搜索引擎凭借高效的"为客户找客户"的商机信息搜索机制在电子商务中有较成熟的利用,不仅满足了电子商务企业精确搜索的需求,还提升了电子商务企业网络营销的质量,同时促进了电子商务的发展。本文首先介绍了垂直搜索引擎的概念及其在电子商务中的应用,然后分析设计了垂直电子商务平台引擎系统,并对系统进行了测试。测试结果表明,本系统检索的准确率、召回率都大大高于通用搜索引擎,达到了预期的设计目的。  相似文献   

2.
电信业的客户投诉不断增多而又亟待高效处理。针对电信客户投诉数据的特点,提出了一种面向高维数据的改进的集成学习分类方法。该方法综合考虑客户投诉中的文本信息及客户通讯状态信息,基于Random Subspace方法,以支持向量机(Support Vector Machine,SVM)为基分类器,采用证据推理(Evidential Reasoning,ER)规则为一种新的集成策略,构造分类模型对电信客户投诉进行分类。所提模型和方法在某电信公司客户投诉数据上进行了验证,实验结果显示该方法能够显著提高客户投诉分类的准确率和投诉处理效率。  相似文献   

3.
基于电子商务的信息密码技术   总被引:3,自引:0,他引:3       下载免费PDF全文
随着电子商务的发展,其重要信息的安全也倍受客户的商家的关注,对重要信息进行有效加密已成为保护客户和商家的重要措施之一。本文分析,研究了电子商务中的密码技术特点,探讨了电子商务中保证数据安全的加密方法。  相似文献   

4.
随着Intenet的日益普及,电子商务蓬勃发展,基于互联网的商业Web站点面临越来越激烈的竞争。商务网站从"以站点为中心一向"以用户为中心一发展成为必然。如何对大量的电子商务信息进行有效的组织利用,从中抽取感兴趣的模式,以便理解客户的行为,从而改进站点的结构或为客户提供个性化的服务成为电子商务发展必须要解决的问题。数据...  相似文献   

5.
张新  刘位龙  金芳 《软件学报》2006,17(Z1):262-268
通过运用智能Agent技术解决了客户知识获取的问题.建立了基于智能Agent的电子商务知识管理框架,运用买方Agent获取客户知识,卖方Agent检索相匹配的产品信息;还运用ontology对产品和客户进行建模,并构造了基于ontology的产品分类学习算法.最后,通过原型的验证证明智能Agent技术能够有效地获取客户知识,也提高了产品信息检索的精度与速度.研究结果为电子商务环境下的客户知识管理提供了新思路.  相似文献   

6.
在电子商务中,如何从大量数据中获取有价值的客户信息非常重要,Web数据挖掘技术是现代电子商务不可缺少的重要工具,文章介绍了Web数据挖掘的概念、分类及数据挖掘过程,同时阐述了电子商务中的几种数据挖掘技术及其具体应用.  相似文献   

7.
电子商务是随着网络的发展产生的一种新兴事物,电子商务的迅速崛起,使得不管是商家还是客户对基于Web数据检索、挖掘等需求不断提高。目前静态结构的Web页面显然已经被众多个性化的动态结构站点所代替。网站如何根据Web服务器日志文件,客户交易数据中挖掘出有意义的用户访问模式和潜在的客户群,为企业提供全方位信息服务和开展有针对性的电子商务活动。针对电子商务方面论述了数据挖掘的优势和应用。介绍了数据挖掘、数据挖掘的分类、电子商务中Web数据挖掘的步骤等。  相似文献   

8.
随着电子商务的不断发展,对用户的分析和分类越来越重要,因此需要一个行之有效的方法来对用户进行分类。针对网站日志数据的特点和各种数据挖掘算法的应用特征,尝试用基于关联规则的分类算法来对网站客户进行分类。实验证明此方法是有效的,其结果可以作为提供个性化服务的依据。  相似文献   

9.
研究电子商务客户流失预测问题,电子商务客户流失具有非线性、时变等特点,用单一预测模型难以对电子商务客户流失变化规律进行全面、准确预测,导致预测正确率低。为了提高电子商务客户流失预测正确率,提出一种组合的电子商务客户流失预测模型。组合预测模型首先采用遗传算法对影响客户流失因子进行筛选,提取对预测结果影响重要的因子,然后分别采用支持向量机和神经网络对其进行预测,最后采用支持向量机对两种预测结果进行融合,得到组合模型的电子商务客户流失预测结果。仿真结果表明,组合模型提高了电子商务客户流失预测正确率,解决了单一预测模型的缺陷,将为电子商务客户流失研究提供一种新预测思路。  相似文献   

10.
电子商务发展迅速,互联网的发展更成为电子商务的引擎,电子商务网站如雨后春笋一样成长起来,但是"信息超载"成为当前电子商务网站的一大弊端,让客户面对纷繁复杂的货物一筹莫展。该文分析了当前应用的几种个性化推荐方法,对它们的不足进行了分析,并提出了一种基于自适应滤波的个性化推荐系统,能为客户提供个性化的推荐服务,而且随着时间的推移,系统在性能上会更加出众。  相似文献   

11.
Recent service perspectives (represented by service–dominant logic, service logic and service science; henceforth, service-logics) provide a mindset for understanding value co-creation as a mutual service process in which firms and customers integrate their resources. The idea that customer and firm resources should be jointly considered to properly explain perceived value is appealing, particularly in interactional settings such as e-commerce. However, we conduct a literature review and show that cross-sectional empirical e-commerce research intended to explain customer value perceptions continues to rely heavily on a unilateral approach (firm resources), which could be misleading. Subsequently, we identify possible barriers for considering service-logics in e-commerce research, which include the lack of a clear definition and classification of resources and an integrated set of valid and reliable measures of resources. We then take a step forward towards overcoming these barriers by providing a summary, a synthesis and new ideas or, at least, a new emphasis on the implications of existing ideas. The new idea/emphasis is that cross-sectional empirical e-commerce research should jointly consider customer resources and firm resources. No prior work has stressed this proposition. We provide a synthesis by re-organizing scarce and scattered service-logics-oriented existing literature on resources to offer a definition and a comprehensive framework for the classification of resources. Finally, we provide a summary by putting together valid and reliable measures of firm resources and customer resources that have been sparsely considered in the 69 studies selected. These measures could be used by researchers in order to model and test value co-creation processes in e-commerce B2C contexts.  相似文献   

12.
CRM是一种关系营销,注重保留客户,建立长期稳定的关系。通过本文所架构的基于CRM的Web挖掘工具可挖掘出商务网站客户关系管理方面的许多有用信息,如潜在客户群体信息、重要页面信息、用户的兴趣爱好信息等,从而为电子商务网站在客户获取、客户保持等方面策略的制定提供了一定的依据,促进商务网站健康、有序的发展。  相似文献   

13.
电子商务网站构建与推广的探究   总被引:1,自引:0,他引:1  
罗建华  郝晴 《办公自动化》2011,(6):47-48,50
网站是电子商务企业进行网络营销、传递企业信息、沟通顾客的重要平台。电子商务企业的首要任务是让消费者了解企业的网站。本文简述电子商务网站构建的要点,并结合实例说明如何根据网站特点进行推广。  相似文献   

14.
随着供应商信息剧增,客户不得不花费大量的时间和精力寻找所需的商品,收效甚微。这种面向供应商的电子商务模式降低了电子商务的效率。如果商家能在客户定义的事件发生时敏捷地响应客户需求,就能避免客户盲目性,大大提高商务效率,商家也赢得了商机。协议是电子商务的技术基础,在协议中引入了敏捷机制思想,设计了具有敏捷性的电子商务协议,并讨论了它的安全性问题。协议解决了电子商务的效率和主动性问题。  相似文献   

15.
The lack of privacy is one of the main reasons that limits trust in e-commerce. Current e-commerce practice enforces a customer to disclose her identity to the e-shop and the use of credit cards makes it straightforward for an e-shop to know the real identity of its customers. Although there are some payment systems based on untraceable tokens, they are not as widely used as credit cards. Furthermore, even without buying anything, a customer is already disclosing some information about who or where she may be by just connecting to the e-shop's web server and leaving behind an IP-address. In this paper, we present novel components that enable secure pseudonymous e-commerce. On the one hand, these components allow a customer to browse through an e-shop, select goods, and pay the goods with her credit card such that neither the e-shop operator nor the credit card issuer nor an eavesdropper is able to get any information about the customer's identity. On the other hand, it is guaranteed that none of the involved parties is able to act dishonestly during the credit card payment. Such a system could greatly enhance trust in e-commerce since it overcomes the customers' privacy concerns.  相似文献   

16.
Modeling the customer in electronic commerce   总被引:4,自引:0,他引:4  
This paper reviews interface design of web pages for e-commerce. Different tasks in e-commerce are contrasted. A systems model is used to illustrate the information flow between three subsystems in e-commerce: store environment, customer, and web technology. A customer makes several decisions: to enter the store, to navigate, to purchase, to pay, and to keep the merchandize. This artificial environment must be designed so that it can support customer decision-making. To retain customers it must be pleasing and fun, and create a task with natural flow. Customers have different needs, competence and motivation, which affect decision-making. It may therefore be important to customize the design of the e-store environment. Future ergonomics research will have to investigate perceptual aspects, such as presentation of merchandize, and cognitive issues, such as product search and navigation, as well as decision making while considering various economic parameters. Five theories on e-commerce research are presented.  相似文献   

17.
基于多通道的B2C电子商务交互模型   总被引:1,自引:0,他引:1       下载免费PDF全文
在B2C电子商务中,一个有效的人机交互模型是吸引用户参与的重要手段。提出一个基于多通道信息的电子商务交互模型,将视觉、听觉及WIMP等多个信息通道结合起来,利用虚拟现实技术,通过使用虚拟的购物环境、顾客替身、导购员及商品的三维展示等来增强用户的购物体验  相似文献   

18.
Customer trust is important in agent-mediated electronic commerce, web-mediated electronic commerce, and traditional commerce. However, the meaning of customer trust in these contexts has not been clearly defined or fully delineated. This paper proposes a new trust model that differentiates between cognitive trust and emotional trust, defines customer trust in each type of commerce as cognitive trust and emotional trust in the various entities (e.g., website, computer agent) that make up a commerce context, and then compares customer trust across the three types of commerce. We propose that, first, emotional trust merits research, particularly in e-commerce. Second, both awareness of the known and awareness of the unknown will be higher in e-commerce than in traditional commerce; this will lead to lower cognitive trust and emotional trust in e-commerce. Third, the key to increase customer trust in e-commerce is to design and develop technologies to reduce the distance between a customer and each entity, thereby increasing awareness of the known and decreasing awareness of the unknown. Fourth, cognitive trust and emotional trust fall along a continuum with potentially asymmetric effects on customer dependence on entities in e-commerce (e.g., computer agent adoption). Finally, future research on customer trust in e-commerce is outlined.  相似文献   

19.
Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems—content-based recommending and collaborative filtering. So far, collaborative filtering recommender systems have been very successful in both information filtering and e-commerce domains. However, the current research on recommendation has paid little attention to the use of time-related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest.This paper suggests a methodology for detecting a user's time-variant pattern in order to improve the performance of collaborative filtering recommendations. The methodology consists of three phases of profiling, detecting changes, and recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes.  相似文献   

20.
Customer-Driven Sensor Management   总被引:1,自引:0,他引:1  
Customer-driven sensor management advocates applying e-commerce concepts and advances to sensor management. In e-commerce, customer wants essentially drive the production process. Sensor management has traditionally followed a much less capitalistic process, producing information "goods" based on predefined system goals and priorities. We explore here some of the possibilities and advantages of incorporating a customer-driven market-based approach to sensor management.This article is part of a special issue on Self-Managing Systems.  相似文献   

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